Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 4287; Tue, 01 Mar 94 19:33:38 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Tue, 01 Mar 94 19:33:31 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA01743; Tue, 1 Mar 94 19:21:03 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA23874; Tue, 1 Mar 94 18:30:27 EST Posted-Date: Tue, 01 Mar 1994 18:29:12 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #10 (new deadline + jobs,jobs,jobs) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Tue, 01 Mar 1994 18:29:12 EST Message-Id: <23744.762564552@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Tuesday, 1 Mar 19?4 Volume 13 : Issue 10 Today's Topics: March 18 is the new KDD-94 Workshop paper submission deadline Position in Cognitive Science Post-Doctoral Position Postdoctoral Fellowships Johnson Endowed Chair in In Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: March 18 is the new KDD-94 Workshop paper submission deadline From: "R. Uthurusamy" Date: Tue, 01 Mar 1994 15:52:32 -0500 Note: March 18, 1994 is the new paper submission date for KDD-94 Workshop -------------- since AAAI has published this later deadline and we intend to honor it. You are encouraged to submit earlier if at all possible. Thanks. - -- sam ============================================================================ C a l l F o r P a p e r s ============================================================================ KDD-94: AAAI Workshop on Knowledge Discovery in Databases Seattle, Washington, July 31-August 1, 1994 =========================================== Knowledge Discovery in Databases (KDD) is an area of common interest for researchers in machine learning, machine discovery, statistics, intelligent databases, knowledge acquisition, data visualization and expert systems. The rapid growth of data and information created a need and an opportunity for extracting knowledge from databases, and both researchers and application developers have been responding to that need. KDD applications have been developed for astronomy, biology, finance, insurance, marketing, medicine, and many other fields. Core Problems in KDD include representation issues, search complexity, the use of prior knowledge, and statistical inference. This workshop will continue in the tradition of the 1989, 1991, and 1993 KDD workshops by bringing together researchers and application developers from different areas, and focusing on unifying themes such as the use of domain knowledge, managing uncertainty, interactive (human-oriented) presentation, and applications. The topics of interest include: Applications of KDD Techniques Interactive Data Exploration and Discovery Foundational Issues and Core Problems in KDD Machine Learning/Discovery in Large Databases Data and Knowledge Visualization Data and Dimensionality Reduction in Large Databases Use of Domain Knowledge and Re-use of Discovered Knowledge Functional Dependency and Dependency Networks Discovery of Statistical and Probabilistic models Integrated Discovery Systems and Theories Managing Uncertainty in Data and Knowledge Machine Discovery and Security and Privacy Issues We also invite working demonstrations of discovery systems. The workshop program will include invited talks, a demo and poster session, and panel discussions. To encourage active discussion, workshop participation will be limited. The workshop proceedings will be published by AAAI. As in previous KDD Workshops, a selected set of papers from this workshop will be considered for publication in journal special issues and as chapters in a book. Please submit 5 *hardcopies* of a short paper (a maximum of 12 single-spaced pages, 1 inch margins, and 12pt font, cover page must show author(s) full address and E-MAIL and include 200 word abstract + 5 keywords) to reach the workshop chairman on or before March 1, 1994. Usama M. Fayyad (KDD-94) | Fayyad@aig.jpl.nasa.gov AI Group M/S 525-3660 | Jet Propulsion Lab | (818) 306-6197 office California Institute of Technology | (818) 306-6912 FAX 4800 Oak Grove Drive | Pasadena, CA 91109 | ************************************* I m p o r t a n t D a t e s ********** * Submissions Due: March 18, 1994 * * Acceptance Notice: April 8, 1994 Final Version due: April 29, 1994 * ****************************************************************************** Program Committee ================= Workshop Co-Chairs: Usama M. Fayyad (Jet Propulsion Lab, California Institute of Technology) Ramasamy Uthurusamy (General Motors Research Laboratories) Program Committee: Rakesh Agrawal (IBM Almaden Research Center) Ron Brachman (AT&T Bell Laboratories) Leo Breiman (University of California, Berkeley) Nick Cercone (University of Regina, Canada) Peter Cheeseman (NASA AMES Research Center) Greg Cooper (University of Pittsburgh) Brian Gaines (University of Calgary, Canada) Larry Kerschberg (George Mason University) Willi Kloesgen (GMD, Germany) Chris Matheus (GTE Laboratories) Ryszard Michalski (George Mason University) Gregory Piatetsky-Shapiro (GTE Laboratories) Daryl Pregibon (AT&T Bell Laboratories) Evangelos Simoudis (Lockheed Research Center) Padhraic Smyth (Jet Propulsion Laboratory) Jan Zytkow (Wichita State University) ============================================================================ ------------------------------ Subject: Position in Cognitive Science From: "Dr. John A. Spinks" Organization: Dept. of Psychology, The University of Hong Kong, HONG KONG. Date: Thu, 27 Jan 1994 09:48:05 +0800 I note from a recent email that you are involved in cognitive science research. I wonder if you could post the following notice about a position (Asst Professor equiv) on any relevant boards, electronic or otherwise, or pass it on personally to anyone you think might be interested. My apologies if you have received this email from a different source, but we are trying to advertise as widely as possible, and that means on (one suspects overlapping) sets. Thanks. John Spinks, Associate Dean, Faculty of Social Sciences, University of Hong Kong. - --------------------------------------------------------------- THE UNIVERSITY OF HONG KONG Lectureship in Psychology. Applications are invited for the position of Lecturer (British system: equivalent to an Assistant Professor in N. America) in the Department of Psychology in the area of cognitive science. The filling of post is subject to the availability of funds, but it is hoped that an appointment will be made early in 1994, for a fixed term of 2 to 3 years, which would be expected to be renewed at the end of this first contract. Applicants for this post should ideally possess a Ph.D. degree and have research, teaching and practical experience in cognitive science. Teaching at the undergraduate and postgraduate levels would be required. There is currently little teaching of cognitive science at the University of Hong Kong, and the appointee would be expected to fill this gap, as well as do research in this area. It is anticipated that a new degree or postgraduate degree course in Cogntive Science will soon be offered by the University, and the Department of Psychology will take on a significant teaching role. Other departments that are likely to be involved include Computer Science, Philosophy and Education. The annual salary (non-superannuable, but attracting a 15% (taxable) terminal gratuity) is on an 11-point scale: HK$377,220 - HK$630,180 (approx. Sterling L32,800 - L54,800; US$48,500 - US$80,800 at December, 1993 exchange rates). Starting salary will depend on qualifications and experience. At current rates, salaries tax in Hong Kong will not exceed 15% of gross income. Children's education allowances in Hong Kong and abroad, leave, and medical/dental benefits are provided; housing or tenancy allowances are also provided in most cases at a charge of 7.5% of salary. Further particulars and application forms may be obtained from the Appointments Unit, Registry, The University of Hong Kong, Hong Kong (fax (852) 5592058; email APPTUNIT@HKUVM1.HKU.HK). Further particulars - ------------------- Facilities at the University of Hong Kong are very good, with all lecturers provided with a PC connected via LANs to the Departmental servers, the University's mainframes (Vax 6420, IBM9375, IBM4361, DECSystem 5500s, SUN SPARCserver 670), and the universities' and polytechnics' DECmpp 12000 supercomputer. There is access, via the LANs, to the Internet, and to computers and networks abroad. There is external access to this network. The University of Hong Kong has expanded rapidly over the last few years, with a current student quota of 8500 undergraduates and 2500 postgraduates (of which about 1000 are research postgraduates). Resourcing and facilities for research can be excellent. The Department of Psychology has several purpose- built laboratories, for research in psychophysiology, perception, experimental psychology, and developmental psychology amongst others. The standards of the undergraduate students are high, the University being able to select only those in the top percentiles. The programmes themselves are of an international standard, and are vetted by external examiners usually from abroad, while many courses and programmes are internationally accredited. Hong Kong itself is an exciting and vibrant city, being at the heart of an area which is economically forging ahead of the rest of the world. Informal queries can be sent to Dr. John A. Spinks, Department of Psychology, at: spinks@hkucc.bitnet ------------------------------ Subject: Post-Doctoral Position From: janth@mond1.ccrc.uga.edu Date: Tue, 08 Feb 1994 15:27:02 -0500 A Post-Doctoral position at the Complex Carbohydrate Research Center (CCRC) at the University of Georgia is available immediately. The work will involve structural characterization of oligosaccharides through neural-network based pattern recognition of spectra. Applicants with a strong background in feed-forward neural networks and associated training methods will be preferred, and experience with analytical techniques such as NMR , MS, and/or IR spectroscopy would be an advantage (but not a requirement). The CCRC operates in a multidisciplinary setting with state-of-the-art analytical instrumentation and computing facilities, and applicants would take part in an ongoing effort to develop methods for archival and (neural-netowrk based) retrieval of analytical spectra. Salary commnesurate with experience. Send application letter, c.v., and names and addresses of three references by March 1 to: Dr. Jan U. Thomsen Complex Carbohydrate Research Center University of Georgia 220 Riverbend Road Athens, GA 30602 or FAX: (706)-542-4412 or E-mail: janth@mond1.ccrc.uga.edu - ------- End of Forwarded Message ------------------------------ Subject: Postdoctoral Fellowships From: bishopc Date: Fri, 11 Feb 1994 14:59:33 +0000 - ------------------------------------------------------------------- Aston University Neural Computing Research Group TWO POSTDOCTORAL RESEARCH FELLOWSHIPS: -------------------------------------- FUNDAMENTAL RESEARCH IN NEURAL NETWORKS Two postdoctoral fellowships, each with a duration of 3 years, will be funded by the U.K. Science and Engineering Research Council, and are to commence on or after 1 April 1994. These posts are part of a major project to be undertaken within the Neural Computing Research Group at Aston, and will involve close collaboration with Professors Chris Bishop and David Lowe, with additional input from Professor David Bounds. This interdisciplinary program requires researchers capable of extending theoretical concepts, and developing algorithmic and proof-of-principle demonstrations through software simulation. The two Research Fellows will work on distinct, though closely related, areas as follows: 1. Generalization in Neural Networks The usual approach to complexity optimisation and model order selection in neural networks makes use of computationally intensive cross-validation techniques. This project will build on recent developments in the use of Bayesian methods and the description length formalism to develop systematic techniques for model optimization in feedforward neural networks from a principled statistical perspective. In its later stages, the project will demonstrate the practical utility of the techniques which emerge, in the context of a wide range of real-world applications. 2. Dynamic Neural Networks Current embodiments of neural networks, when applied to `dynamic' events such as time series forecasting, are successful only if the underlying `generator' of the data is stationary. If the underlying generator is slowly varying in time then we do not have a principled basis for designing effective neural network structures, though ad hoc procedures do exist. This program will address some of the key issues in this area using techniques from statistical pattern processing and dynamical systems theory. In addition, application studies will be conducted which will focus on time series problems and tracking in non-stationary noise. If you wish to be considered for these positions, please send a CV and publications list, together with the names of 3 referees, to: Professor Chris M Bishop Neural Computing Research Group Aston University Birmingham B4 7ET, U.K. Tel: 021 359 3611 ext. 4270 Fax: 021 333 6215 e-mail: c.m.bishop@aston.ac.uk ------------------------------ Subject: Johnson Endowed Chair in In From: Jay Farrell Date: 17 Feb 1994 16:02:24 Subject: Time: 3:56 PM OFFICE MEMO Johnson Endowed Chair in Intelligent Date: 2/17/94 Subject: Johnson Endowed Chair in Intelligent Systems From: Jay Farrell Date: Thurs., Feb. 17, 1994 Johnson Endowed Chair in Intelligent Systems The College of Engineering at the University of California, Riverside is conducting a worldwide search to attract an outstanding scholar for the Johnson Endowed Chair in Intelligent Systems. Current research in the College is in intelligent systems, artificial intelligence, robotics, visualization, and advance manufacturing. We are searching for candidates with established international prominence and interested in developing a strong research focus in the newly-emerged College. Both applications and nominations are solicited for this position which is to commence at the start of the 1994-95 academic year. The candidate for the Chair should have qualifications commensurate with the academic rank of full professor at the University of California. In particular, the candidate should possess: #165# Research Ability #209# demonstrated by major and internationally recognized contributions in the area of Intelligent Systems; #165# Leadership #209# an interest in creating and leading an active research group and interacting effectively with other groups and institutions; #165# Commitment to Teaching #209# demonstrated by an interest and ability in providing high-quality instruction. Please submit a resume, complete list of publications, a written statement on research and teaching objectives, and names of at least three individuals willing to write letters of reference by March 31, 1994 to: Chair, Johnson Endowed Chair in Intelligent Systems, College of Engineering, University of California, Riverside, CA 92521-0425. Applicants from the United States and abroad are encouraged to apply. The University of California, Riverside is an Equal Opportunity, Affirmative Action Employer. ------------------------------ End of Neuron Digest [Volume 13 Issue 10] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 0992; Mon, 07 Mar 94 22:19:19 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Mon, 07 Mar 94 22:19:12 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA21883; Mon, 7 Mar 94 22:08:36 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA16754; Mon, 7 Mar 94 19:35:15 EST Posted-Date: Mon, 07 Mar 1994 19:34:19 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #11 (lots of new good things) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Mon, 07 Mar 1994 19:34:19 EST Message-Id: <16728.763086859@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Monday, 7 Mar 19?4 Volume 13 : Issue 11 Today's Topics: Human Memory: BBS Call for Commentators Neural Computation BibTeX database available donations to bibliography server FUZZY + Neural nets? ANNs for market prediction CMU-Pitt Center for the Neural Basis of Cognition PhD and Masters Programs at the Oregon Graduate Institute UK PhD studentships at Leeds, England papers on time and neural networks JAIR article Shakespeare and Neural Nets Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: Human Memory: BBS Call for Commentators From: Stevan Harnad Date: Mon, 31 Jan 1994 20:52:35 -0500 Below is the abstract of a forthcoming target article by: MS Humphreys, J Wiles & S Dennis on: TOWARD A THEORY OF HUMAN MEMORY: DATA STRUCTURES AND ACCESS PROCESSES This article has been accepted for publication in Behavioral and Brain Sciences (BBS), an international, interdisciplinary journal providing Open Peer Commentary on important and controversial current research in the biobehavioral and cognitive sciences. Commentators must be current BBS Associates or nominated by a current BBS Associate. To be considered as a commentator for this article, to suggest other appropriate commentators, or for information about how to become a BBS Associate, please send email to: harnad@clarity.princeton.edu or harnad@pucc.bitnet or write to: BBS, 20 Nassau Street, #240, Princeton NJ 08542 [tel: 609-921-7771] To help us put together a balanced list of commentators, please give some indication of the aspects of the topic on which you would bring your areas of expertise to bear if you were selected as a commentator. An electronic draft of the full text is available for inspection by anonymous ftp according to the instructions that follow after the abstract. ____________________________________________________________________ TOWARD A THEORY OF HUMAN MEMORY: DATA STRUCTURES AND ACCESS PROCESSES Michael S. Humphreys, Department of Psychology Janet Wiles, Departments of Psychology and Computer Science Simon Dennis, Department of Computer Science University of Queensland QLD 4072 Australia mh@psych.psy.uq.oz.au KEYWORDS: amnesia, binding, context, data structure, lexical decision, memory access, perceptual identification, recall, recognition, representation. ABSTRACT: A theory of the data structures and access processes of human memory is proposed and demonstrated on 10 tasks. The two starting points are Marr's (1982) ideas about the levels at which we can understand an information processing device and the standard laboratory paradigms which demonstrate the power and complexity of human memory. The theory suggests how to capture the functional characteristics of human memory (e.g., analogies, reasoning, etc.) without having to be concerned with implementational details. Ours is not a performance theory. We specify what is computed by the memory system with a multidimensional task classification which encompasses existing classifications (e.g., the distinction between implicit and explicit, data driven and conceptually driven, and simple associative (2-way bindings) and higher order tasks (3-way bindings). This provides a broad basis for new experimentation. Our formal language clarifies the binding problem in episodic memory, the role of input pathways in both episodic and semantic (lexical) memory, the importance of the input set in episodic memory, and the ubiquitous calculation of an intersection in theories of episodic and lexical access. - -------------------------------------------------------------- To help you decide whether you would be an appropriate commentator for this article, an electronic draft is retrievable by anonymous ftp from princeton.edu according to the instructions below (the filename is bbs.humphreys). Please do not prepare a commentary on this draft. Just let us know, after having inspected it, what relevant expertise you feel you would bring to bear on what aspect of the article. The file is also retrievable using archie, gopher, veronica, etc. - ------------------------------------------------------------- To retrieve a file by ftp from an Internet site, type either: ftp princeton.edu or ftp 128.112.128.1 When you are asked for your login, type: anonymous Enter password as queried (your password is your actual userid: yourlogin@yourhost.whatever.whatever - be sure to include the "@") cd /pub/harnad/BBS To show the available files, type: ls Next, retrieve the file you want with (for example): get bbs.humphreys When you have the file(s) you want, type: quit These files can also be retrieved using gopher, archie, veronica, etc. - ---------- Where the above procedure is not available there are two fileservers: ftpmail@decwrl.dec.com and bitftp@pucc.bitnet that will do the transfer for you. To one or the other of them, send the following one line message: help for instructions (which will be similar to the above, but will be in the form of a series of lines in an email message that ftpmail or bitftp will then execute for you). JANET users without ftp can instead utilise the file transfer facilities at sites uk.ac.ft-relay or uk.ac.nsf.sun. Full details are available on request. - ------------------------------------------------------------- ------------------------------ Subject: Neural Computation BibTeX database available From: Nici Schraudolph Date: Tue, 01 Feb 1994 00:04:05 -0800 I've made a database of BibTeX entries for all articles published in the first five volumes of the journal Neural Computation; it's available by anonymous ftp from mitpress.mit.edu (18.173.0.28), file NC.bib.Z in the pub/NeuralComp directory. Share and enjoy, - - Nici Schraudolph. ------------------------------ Subject: donations to bibliography server From: Lutz Prechelt Date: Tue, 01 Feb 1994 15:08:12 +0100 A colleague of mine here at University of Karlsruhe is currently building a large bibliographic database that is available free of charge on the internet. It currently contains about 210000 entries from various fields of computer science (mostly parallel processing, graphics, theoretical computer science, computational geometry, human computer interaction) Although there are several thousand entries on Artificial Intelligence topics, connectionism is not covered very well yet (Neural Computation's contents are present and some personal bibliographies). To extend this database by at least some basic information about neural network and other connectionist research, it would be fine if somebody could donate bibliographies on these topics which are (almost) comprehensive in some respect. In particular, I think it would be a very good start to have complete contents of NIPS, IJCNN, and Neural Networks (and perhaps, other journals such as Complex Systems). If anybody is able and willing to donate such bibliographies, please send me email. BibTeX format would be best, but refer or other parsable formats are OK, too. For information on the bibliography service, send mail with a single line containing the word 'help' in the body to bibserv@ira.uka.de [ The query service is still in a test stage and is not yet available to people located outside email domain '.de' (Germany) due to resource restrictions. The bibliographies themselves, however, are available for anonymous ftp from ftp.ira.uka.de:/pub/bibliography ] Lutz Lutz Prechelt (email: prechelt@ira.uka.de) | Whenever you Institut fuer Programmstrukturen und Datenorganisation | complicate things, Universitaet Karlsruhe; 76128 Karlsruhe; Germany | they get (Voice: ++49/721/608-4068, FAX: ++49/721/694092) | less simple. ------------------------------ Subject: FUZZY + Neural nets? From: ignacio@casip.ugr.es Date: Tue, 01 Feb 1994 19:09:22 +0200 Hello : I am working in fuzzy logic for control problem. I read some paper that try to combine the adavantages of neural and fuzzy to solve control problem, using the structure proposed by C.Lee .Diferent author followed this idea (Kosko, H.Surmann ...) I would like to know how i could get tool to work in this subject Thanks in advances Ignacio Rojas Universidad Granada,Spain Dep.Electronica y Tecnologia de Computadores e-mail : ignacio@casip.ugr.es ------------------------------ Subject: ANNs for market prediction From: BHASKAR DASGUPTA ALIAS BD Date: 02 Feb 1994 18:49:22 -0000 Hiya all, I am facing a problem and I would appreciate any help. I have 36 neural networks forecasting one period ahead movements in stock prices in 18 countries. Now, I want to create a portfolio, in which, depending on the maximum return predicted, the system is going to invest in / or withdraw from particular markets. Now, I also have several constraints such as x% investment in one market, y% maximum in emerging markets, z% in bonds, equities and cash etc. etc. I have formulated the LP model for this, but the problem is that I have approximately 1400 portfolios to construct. So, assuming that I spend about 30 minutes on one portfolio using LINDO PC, the mind boggles at the total amount of time that I would have to spend on the entire lot. So not wanting my mind to be boggled :-<, I have decided to ask to assistance of this group. So the particular questions are. (1) is it possible to get a GA to carry out the same type of exercise as is possible using an LP (linear programming) model ? (2) If yes, which GA software, (preferably free, definitely MSDOS or windows) (3) Is there anyone else doing the same thing in the wide world outside? (4) I heard about a GA software called as Evolution Machine in Germany. I just cannot get the ftp to work to get the software, any help on this, i.e. has anyone got any information whether this software exists on any other ftp? (5) is there any software which can help me automate this process in Linear Programming, preferably free, but then the world is not perfect, so perhaps low cost ones? I would be eternally grateful for any kind of help. I shall be posting this SOS to other groups, so apologies if you get this more than once. Cheers BD Manchester Business School England. ------------------------------ Subject: CMU-Pitt Center for the Neural Basis of Cognition From: "James L. McClelland" Date: Thu, 03 Feb 1994 11:27:41 -0500 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Carnegie Mellon University and the University of Pittsburgh Announce the Creation of the Center for the Neural Basis of Cognition The Center is dedicated to the study of the neural basis of cognitive processes, including learning and memory, language and thought, perception, attention, and planning; to the study of the development of the neural substrate of these processes; to the study of disorders of these processes and their underlying neuropathology; and to the promotion of applications of the results of these studies to artificial intelligence, technology, and medicine. The Center will synthesize the disciplines of basic and clinical neuroscience, cognitive psychology, and computer science, combining neurobiological, behavioral, computa- tional and brain imaging methods. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Faculty Openings in the Center The Center seeks faculty and research scientists whose work relates to the mission stated above. Recruiting is beginning immediately, and will continue for several years. Appointments can be at any level and will be coordinated with one or more departments at either university. Coordinating departments include Biological Sciences, Computer Science, and Psychology at Carnegie Mellon and the departments of Behavioral Neuroscience, Neurobiology, Neurology, Psychiatry and Psychology at the University of Pittsburgh. Other affiliations may be possible. Candidates should send an application to either of the Co-Directors of the Center, listed below. The application should include a statement of interest indicating how the candidate's work fits the mission of the center and suggesting possible departmental affiliations, as well as a CV, copies of publications, and three letters of reference. Both uni- versities are EEO/AA Employers. James L. McClelland Robert Y. Moore Department of Psychology Center for Neuroscience Baker Hall 345-F Biomedical Science Tower 1656 Carnegie Mellon University University of Pittsburgh Pittsburgh, PA 15213 Pittsburgh, PA 15261 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ------------------------------ Subject: PhD and Masters Programs at the Oregon Graduate Institute From: John Moody Date: Fri, 04 Feb 1994 15:50:07 -0800 Fellow Connectionists: The Oregon Graduate Institute of Science and Technology (OGI) has openings for a few outstanding students in its Computer Science and Electrical Engineering Masters and Ph.D programs in the areas of Neural Networks, Learning, Signal Processing, Time Series, Control, Speech, Language, and Vision. Faculty and postdocs in these areas include Etienne Barnard, Ron Cole, Mark Fanty, Dan Hammerstrom, Hynek Hermansky, Todd Leen, Uzi Levin, John Moody, David Novick, Misha Pavel, Joachim Utans, Eric Wan, and Lizhong Wu. Short descriptions of our research interests are appended below. OGI is a young, but rapidly growing, private research institute located in the Portland area. OGI offers Masters and PhD programs in Computer Science and Engineering, Applied Physics, Electrical Engineering, Biology, Chemistry, Materials Science and Engineering, and Environmental Science and Engineering. Inquiries about the Masters and PhD programs and admissions for either Computer Science or Electrical Engineering should be addressed to: Margaret Day, Director Office of Admissions and Records Oregon Graduate Institute PO Box 91000 Portland, OR 97291 Phone: (503)690-1028 Email: margday@admin.ogi.edu The final deadline for receipt of all applications materials for the Ph.D. programs is March 1, 1994, so it's not too late to apply! Masters program applications are accepted continuously. +++++++++++++++++++++++++++++++++++++++++++++++++++++++ Oregon Graduate Institute of Science & Technology Department of Computer Science and Engineering & Department of Electrical Engineering and Applied Physics Research Interests of Faculty in Adaptive & Interactive Systems (Neural Networks, Signal Processing, Control, Speech, Language, and Vision) Etienne Barnard (Assistant Professor): Etienne Barnard is interested in the theory, design and implementation of pattern-recognition systems, classifiers, and neural networks. He is also interested in adaptive control systems -- specifically, the design of near-optimal controllers for real- world problems such as robotics. Ron Cole (Professor): Ron Cole is director of the Center for Spoken Language Understanding at OGI. Research in the Center currently focuses on speaker- independent recognition of continuous speech over the telephone and automatic language identification for English and ten other languages. The approach combines knowledge of hearing, speech perception, acoustic phonetics, prosody and linguistics with neural networks to produce systems that work in the real world. Mark Fanty (Research Assistant Professor): Mark Fanty's research interests include continuous speech recognition for the telephone; natural language and dialog for spoken language systems; neural networks for speech recognition; and voice control of computers. Dan Hammerstrom (Associate Professor): Based on research performed at the Institute, Dan Hammerstrom and several of his students have spun out a company, Adaptive Solutions Inc., which is creating massively parallel computer hardware for the acceleration of neural network and pattern recognition applications. There are close ties between OGI and Adaptive Solutions. Dan is still on the faculty of the Oregon Graduate Institute and continues to study next generation VLSI neurocomputer architectures. Hynek Hermansky (Associate Professor); Hynek Hermansky is interested in speech processing by humans and machines with engineering applications in speech and speaker recognition, speech coding, enhancement, and synthesis. His main research interest is in practical engineering models of human information processing. Todd K. Leen (Associate Professor): Todd Leen's research spans theory of neural network models, architecture and algorithm design and applications to speech recognition. His theoretical work is currently focused on the foundations of stochastic learning, while his work on Algorithm design is focused on fast algorithms for non-linear data modeling. Uzi Levin (Senior Research Scientist): Uzi Levin's research interests include neural networks, learning systems, decision dynamics in distributed and hierarchical environments, dynamical systems, Markov decision processes, and the application of neural networks to the analysis of financial markets. John Moody (Associate Professor): John Moody does research on the design and analysis of learning algorithms, statistical learning theory (including generalization and model selection), optimization methods (both deterministic and stochastic), and applications to signal processing, time series, and finance. David Novick (Assistant Professor): David Novick conducts research in interactive systems, including computational models of conversation, technologically mediated communication, and human-computer interaction. A central theme of this research is the role of meta-acts in the control of interaction. Current projects include dialogue models for telephone-based information systems. Misha Pavel (Associate Professor): Misha Pavel does mathematical and neural modeling of adaptive behaviors including visual processing, pattern recognition, visually guided motor control, categorization, and decision making. He is also interested in the application of these models to sensor fusion, visually guided vehicular control, and human-computer interfaces. Joachim Utans (Post-Doctoral Research Associate): Joachim Utans's research interests include computer vision and image processing, model based object recognition, neural network learning algorithms and optimization methods, model selection and generalization, with applications in handwritten character recognition and financial analysis. Lizhong Wu (Post-Doctoral Research Associate): Lizhong Wu's research interests include neural network theory and modeling, time series analysis and prediction, pattern classification and recognition, signal processing, vector quantization, source coding and data compression. He is now working on the application of neural networks and nonparametric statistical paradigms to finance. Eric A. Wan (Assistant Professor): Eric Wan's research interests include learning algorithms and architectures for neural networks and adaptive signal processing. He is particularly interested in neural applications to time series prediction, adaptive control, active noise cancellation, and telecommunications. ------------------------------ Subject: UK PhD studentships at Leeds, England From: E S Atwell Date: Sat, 05 Feb 1994 13:35:51 +0000 ***************************************************************************** ** PLEASE POST ON YOUR FINAL-YEAR Ugrad AND MSc BULLETIN BOARD / NEWSGROUP ** ***************************************************************************** THE UNIVERSITY OF LEEDS Centre for Computer Analysis of Language And Speech (CCALAS) PhD RESEARCH SCHOLARSHIPS The University of Leeds has up to 5 Research Scholarships for full-time PhD study available for take up by UK students in October 1994. The scholarships cover academic fees at the UK rate and a maintenance grant of #4,950 a year. CLOSING DATE FOR APPLICATIONS: 11 MARCH 1994. To join the CCALAS research centre, you will need a BSc/BA (ideally First Class Honours) in Artificial Intelligence, Computer Science, Education, Engineering, English, Linguistics, Modern Languages, Philosophy, Psychology or a related discipline; and interest in corpus-based computational linguistics. Informal enquiries about research opportunities in CCALAS may be made to: Eric Atwell, tel 0532 335761, fax 0532 335468, email eric@scs.leeds.ac.uk ; or Clive Souter, tel 0532 335460, email cs@scs.leeds.ac.uk ; or Peter Roach, tel 0532 335759, fax 0532 335749, email peterr@psychology.leeds.ac.uk Application forms may be obtained from the Research Degrees and Scholarships Office (UK Studentships), The University, Leeds LS2 9JT, tel 0532 335771 **************************************************************************** COMPUTATIONAL LINGUISTICS RESEARCH AT LEEDS UNIVERSITY Computer Analysis of Language And Speech is a thriving research area, at Leeds as well as nationally and internationally. We are still a long way from general, robust systems that can fully `understand' Natural Languages such as English. However, it is possible to identify specific subproblems or `niche' applications where current theory and technology can be applied usefully. Several research funding agencies support research in this interdisciplinary area, including the Science and Engineering Research Council (SERC), Economic and Social Research Council (ESRC), Ministry of Defence (MoD), Department of Trade and Industry (DTI), British Council, and Higher Education Funding Councils (HEFCs) special initiatives such as Knowledge Based Systems Initiative (KBSI) and New Technologies Initiative (NTI). Leeds University researchers have an excellent track record in winning research grants from these sources, and will continue to seek external research funding; the University is also contributing internal support. CCALAS is a focus for researchers from a range of departments at Leeds University, providing a `critical mass' of expertise and sharable resources for research over a broad range of fundamental and application-oriented topics involving the computer analysis of language and speech. CCALAS members offer postgraduate research supervision and taught course modules leading to the degree of MSc, MA, MPhil, or PhD. CCALAS members are also involved in externally-funded Research and Development projects, and welcome PhD students with research interests linked to these larger projects. CCALAS covers a broad range of computer corpus- and dictionary-based research including: computers in lexicography (Atwell, Cowie, Roach, Setter, Souter), corpus annotation (Arnfield, Atwell, Bull, Ghali, Hughes, Roach, Souter), corpus collocation analysis (Howarth, Cowie, Davidson), grammar-based reasoning (Mott, Silver), grammatical inference (Arnfield, Atwell, Demetriou, Hanlon, Hughes, Jost, Souter, Tarver, Ueberla), handwriting recognition (Atwell, Boyle, Hanlon), language and linguistics teaching (Atwell, Davidson, Hunter, Roach, Shivtiel), probabilistic parsing (Atwell, Hogg, Jost, O'Donoghue, Souter), speech act theory (Holdcroft, Millican, Wallis, Wynne), speech recognition (Atwell, Kirby, Lockhart, Mair, Sergant, Roach, Ueberla), speech synthesis (Moore, Roach, Scully), text generation (Cole, Grierson, Tawalbeh), word-sense semantic disambiguation and tagging (Atwell, Demetriou, Jost). **************************************************************************** Leeds University has over 15,000 students and 2,000 academic and research staff, making it one of the largest in Britain. Leeds is half-way between London and Edinburgh, linked by rail, motorway and air to the rest of the UK and Europe. It is the 20th largest city in the European Community, with the excellent arts, sport and other social facilites expected of a growing, multi-cultural metropolis; but it is also close to four National Parks. More background information on CCALAS, the University, and Leeds and its environs can be found in the University Postgraduate Prospectus. ------------------------------ Subject: papers on time and neural networks From: grumbach@inf.enst.fr Organization: Ecole Nationale Superieure des Telecommunications, Paris Date: Mon, 14 Feb 1994 09:51:22 +0100 As guest editors of a special issue of the Sigart Bulletin about : Time and Neural Networks we are looking for 4 articles about 10 pages each. Sigart is a quarterly publication of the Association for Computing Machinery (ACM) special interest group on Artificial Intelligence. The paper may either deal with approachs of time processing using traditional connectionist architectures, or with more specific models integrating time in their basis. If you are interested, and if you can submit a paper (not already published) within a short delay (about 1 month and a half), please send a draft (if possible a Word file) : - - preferably by giving ftp access to it (information via e-mail) - - or sending it as "attached file" on e-mail - - or posting a paper copy of it. Drafts should be received before April 1. Notification of acceptance will be sent before April 20. grumbach@enst.fr or chaps@enst.fr Alain Grumbach and Cedric Chappelier ENST dept INF 46 rue Barrault 75634 Paris Cedex 13 France ------------------------------ Subject: JAIR article From: Steve Minton Date: Wed, 16 Feb 1994 18:03:21 -0800 Readers of this newsgroup may be interested the following article, which was recently published in the Journal of Artificial Intelligence Research: Ling, C.X. (1994) "Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models", Volume 1, pages 209-229 Postscript: volume1/ling94a.ps (247K) Online Appendix: volume1/ling-appendix.Z (109K) data file, compressed Appendix: Learning the past tense of English verbs - a seemingly minor aspect of language acquisition - has generated heated debates since 1986, and has become a landmark task for testing the adequacy of cognitive modeling. Several artificial neural networks (ANNs) have been implemented, and a challenge for better symbolic models has been posed. In this paper, we present a general-purpose Symbolic Pattern Associator (SPA) based upon the decision-tree learning algorithm ID3. We conduct extensive head-to-head comparisons on the generalization ability between ANN models and the SPA under different representations. We conclude that the SPA generalizes the past tense of unseen verbs better than ANN models by a wide margin, and we offer insights as to why this should be the case. We also discuss a new default strategy for decision-tree learning algorithms. JAIR's server can be accessed by WWW, FTP, gopher, or automated email. For further information, check out our WWW server (URL is gopher://p.gp.cs.cmu.edu/) or one of our FTP sites (/usr/jair/pub at p.gp.cs.cmu.edu), or send email to jair@cs.cmu.edu with the subject AUTORESPOND and the message body HELP. ------------------------------ Subject: Shakespeare and Neural Nets From: Terry Sejnowski Date: Thu, 24 Feb 1994 02:49:35 -0800 from New Scientist 22 january 1994 p. 23 In an interesting article on the use of statistical measures to assess the attribution of texts to authors, Robert Matthews and Tom Merrriam report that: "Applying our neural network to disputed works such as 'The Two Noble Kinsman' has produced some interesting results and helped to settle some bitter arguments over authorship of controversial texts. ... "The first task was to train the network. This we did by exposing it to data extracted from a large number of samples of Shakespeare's undisputed work, together with that of his successor with The King's Men [a theater], John Fletcher. ... We then set the network loose on 'The Two Noble Kinsman'. Drawing on a wide variety of essentially subjective evidence, scholars have claimed that Shakespeare's hand dominates Acts I and V, with much of the rest appearing to be by Fletcher. In March last year, our neural network agreed with these attributions -- and proferred the extra opinion that Fletcher may have received considerable help from Shakespeare in Act IV. In short, our neural network quantitatively supports the subjective view of its much more sophisticated human counterparts that 'The Two Noble Kinsman' is a genuine collaboration between Shakespeare and one of his contemporaries." These results will appear in the journal 'Literary and Linguistic Computing'. A similar approach might be used to determine the contributions of coauthors to scientific papers. Terry - ----- ------------------------------ End of Neuron Digest [Volume 13 Issue 11] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 3163; Tue, 08 Mar 94 15:37:50 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Tue, 08 Mar 94 15:37:47 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA29338; Tue, 8 Mar 94 15:25:24 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA28770; Tue, 8 Mar 94 12:38:36 EST Posted-Date: Tue, 08 Mar 1994 12:37:09 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #12 (queries + jobs + conferences) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Tue, 08 Mar 1994 12:37:09 EST Message-Id: <28701.763148229@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Tuesday, 8 Mar 19?4 Volume 13 : Issue 12 Today's Topics: 2Graph bisection? SNNS-Kohonen asking for info .... Singular spectrum analysis and ANNs Survey on NN application .... Postdoc at Sussex Chair & 2 Lectureships at Leeds University postdoc position(s) IEEE image processing update I SBRN Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: Graph bisection? From: ARDESHIR Date: Mon, 28 Feb 1994 15:47:00 -0000 Hello, I have been working on Graph Bisection Problem using the Mean Field Theory and referenced my work according to this paper: Carsten Peterson and James R. Anderson, "Neural Networks and NP-complete Optimization Problems; A Performance Study on the Graph Bisection Problem", Complex Sysytems 2, (1988) 59. My object is to bisect a graph which comprises of N elements of triangles. I have managed to implement the MFT to Graph Bisection problem and it works fine for small to medium graphs (100 elements(triangles instead of vertices)) However as the number of the elements increases, the control of cutsize to the balcancing term becomes more difficult, by which the constraint (balance) term takes the most advantage of the program, thus increasing the cutsize of the graph and in some cases creating two or more different clusters of elements at various places in the graph while having a balanced number of elements. One way to cure this is by choosing small values of "alpha" (the imbalance parameter) for which it increases the cost, hence reducing the cutsize while imbalancing the number of elements in each bisection. I was hoping if you could suggest a remedy for which the cutsize of the graph as well as the balance of elements can be achived without frustrating each other for large number of elements. i.e. achive a reasonable minimum cutsize (while avoiding the creation of different clusters of elements) and having a reasonable balance between the bisections. In my program I carry out an asynchronous iterative computation of the MFT equation for the graph bisection problem using continous values of V_i (initially set to -0.00001 to 0.00001). MFT eq. for GB => V_i = tanh(sum (T_ij - alpha) V_i / Temp). Therefore: 1- setup the NxN element t[i][j] symetric matrix with T_ii=0; 2- setup N element v[i] vector using random values between -0.0001 and 0.0001; 3-carry out annealing as follows; Temperature = 2.0 in most cases; alpha = 1.0, though it is reduced as the number of elements are increased; it = 1; while(1) { for(i=0; i Date: Tue, 01 Mar 1994 16:58:57 +0000 Dear netters, PLEASE IGNORE THIS MESSAGE IF YOU HAVE SEEN THE SAME IN OTHER LISTS. I am Ph.D. student at University of Strathclyde, U.K., working on application of neural networks in metal forming area. I would appreciate if you could provide me any information regarding literatures, contact addresses, interest group news or state of art in the following areas : 1. NN application in forging preform design. 2. Application of NN to map shape to shape relation. 3. Shape representation technique used to apply NN with. 4. Forging preform design Any suggestion or information will be highly appreciated. Summary of all the responses will be posted to the list. PLEASE REPLY TO ME DIRECTLY AT : cldv04@strath.ac.uk with thanks, Yours sincerely, rajkumar roy DMEM University of Strathclyde U.K. ------------------------------ Subject: Singular spectrum analysis and ANNs From: MSANDRI%IVRUNIV.bitnet@ICINECA.CINECA.IT Date: Tue, 01 Mar 1994 17:52:54 -0100 I am looking for references relating ANNs based on Singular Spectrum Analysis for time series modelling and prediction. Any information is welcome! Thanks in advance. Marco. ------------------------------ Subject: Survey on NN application .... From: "r.roy" Date: Wed, 02 Mar 1994 09:07:02 +0000 Dear recipient, I am writing to you as part of my research project. I am undertaking research in Neural Networks application in manufacturing. I write to you identify what is the current stage of the Neural Networks applications in industry and academia. I would be grateful if you please respond to this questionnaire. Your reply will be treated in the confidence and will only be used by those involved directly in the project. The individual responses will not be disclosed to any individual not concerned with the project. Only the general result of the survey will be available to the respondents. NEURAL NETWORK SURVEY Please answer the questionnaire in the order and format shown. 1) Name of the respondent 2) Affiliation 3) Job Title 4) Neural Network Used a) Backpropogation b) Kohenen c) Hopfield d) Other, please specify 5) Network utilised in a) Pattern recognition b) Manufacturing Planning c) Manufacturing Control d) Manufacturing Scheduling e) Metal forming f) Metal cutting g) Robotics h) Plastic moulding i) CAD/CAM j) Vision systems k) Other please specify 6) Number of years you are involved in NN research : 7) Computer Platforms used a) PC based (or compatible) b) UNIX ( workstations ) c) VAX/VMS d) Other, please specify 8) Any specialised hardware used, i.e. Neural Chips? 9) Computer Languages used for development. Please specify. 10) Any professional NN software package used. Please specify. 11) Any Public Domain ( free ) NN software used. Please specify. 12) Number of publications in NN area in 1992/93. 13 ) Comments : (E.g. benefits, failure, outlook) limit to three lines. PLEASE REPLY DIRECTLY TO : k.pandya@ieee.org ------------------------------ Subject: Postdoc at Sussex From: Dave Cliff Date: Fri, 04 Mar 1994 13:59:37 +0000 Sussex Centre for Neuroscience RESEARCH FELLOW Applications are invited for a postdoctoral research fellow to investigate visuo-spatial memories and navigation in hymenoptera (ants, bees, and wasps). Candidates with interest and experience in vision, robotics and computational modelling are especially welcome. The post will be for two years in the first instance with a possibility of renewal. Starting salary will be in the range U.K.Pounds12828-20442. Enquiries and applications (curriculum vitae, one or two sample publications, and the names and addresses of at least two referees) should be addressed to: Dr T. S. Collett, Sussex Center for Neuroscience, School of Biological Sciences, Falmer, Brighton BN1 9QG, U.K. Tel: +44 (0)273 678507 Fax: +44 (0)273-678535 Closing date: 1 May 1994. ------------------------------ Subject: Chair & 2 Lectureships at Leeds University From: E S Atwell Date: Fri, 04 Mar 1994 17:07:25 +0000 I am posting the following on behalf of colleagues in the Philosophy Dept here at Leeds University; readers of this bulletin interested in Artificial Intelligence and/or Computer Analysis of Language And Speech from a Philosophical perspective will hopefully be interested (I have to say I'm biased in favour of potential colleagues I could collaborate with!!) &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& Eric Steven Atwell National Coordinator, Higher Education Funding Councils' KBS Initiative Director, Centre for Computer Analysis of Language And Speech (CCALAS) Artificial Intelligence Division, School of Computer Studies phone: +44 532 335761 Leeds University FAX: +44 532 335468 Leeds LS2 9JT Email: eric@scs.leeds.ac.uk England &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& THE UNIVERSITY OF LEEDS DEPARTMENT OF PHILOSOPHY CHAIR OF PHILOSOPHY TWO LECTURESHIPS IN PHILOSOPHY Applications are invited for a Chair of Philosophy and for two permanent Lectureships in Philosophy. All these posts are tenable from 1 September 1994, or as soon as possible thereafter by agreement. Candidates with interests in any area of philosophy are Following a recent expansion of the Department in both staff and student numbers, the University is seeking to consolidate and to strengthen the Department's research profile. The advertised posts will increase the permanent staff of the Department from 16 to 19. The persons appointed will have a proven research record. The successful candidate for the Chair will be expected to provide leadership for research activities in Philosophy within the Department. The salary for the Chair will be within the non-clinical professorial range. The salary for each of the lectureships will be on Grade A (13,601 - 18,855) or Grade B (19,642 - 25,107). [Figures are pounds sterling.] The University of Leeds is an equal opportunity employer. Women and members of ethnic minorities are under-represented in the University in posts at this level and the University would therefore particulary welcome applications from members of such groups, whilst, however, affirming that the appointment will be made entirely on merit. Further particulars for the Chair (reference number 13/16), and application forms and further particulars for the two Lectureships (reference number 13/17) may be obtained from the Personnel Division (Academic Section), Office of the Registrar, the University of Leeds, Leeds LS2 9JT, tel: 0532 335771 - direct line, quoting the relevant reference number. The closing date for applications for the Lectureships is 18 March 1994. The closing date for applications for the Chair is Thursday 31 March 1994. [Copies of the further particulars for these posts may be obtained by anonymous ftp from ftp.scs.leeds.ac.uk, name 'anonymous' and give your email address as the password. For the professorial chair further particulars ask for the file philos/chair_partics; for the lectureship further particular ask for the file philos/lect_partics; for the staff-list of the Philosophy Department (listing interests etc.) ask for the file philos/stafflist. The Philosophy Department at Leeds is grateful to the School of Computer Studies for providing this facility.] - --------------------- [END] ------------------------------ Subject: postdoc position(s) From: Robbie Jacobs Date: Sun, 06 Mar 1994 16:21:17 -0500 Postdoctoral Fellowship(s) Available The Center for Sciences of Language at the University of Rochester anticipates having one and possibly two NIH-funded post-doctoral fellowships available for the 1994-95 academic year. If two positions are available, preference for one of the positions will be given to candidates who already have the Ph.D. and can begin before July 1, 1994. The appointment will be for one year with the possibility of renewal for a second year. The Center brings together faculty and students with interests in spoken and signed languages from the departments of Linguistics, Computer Science, Psychology, and Philosophy; and the interdisciplinary programs in Cognitive Science and Neuroscience. We encourage applicants from any of these disciplines who have expertise in any area of natural language. We are particularly interested in post-doctoral fellows who want to contribute to an interdisciplinary community. Applications should be sent to Michael K. Tanenhaus, University of Rochester, Department of Psychology, Meliora Hall, Rochester, NY 14627. Include a vita, sample reprints and/or pre-prints, a statement of research and training interests, and arrange for letters of reference from at least three referees. In order to guarantee full consideration, applications should be received by April 1. The University of Rochester is an equal opportunity employer. We encourage applications from women and from minorities. ------------------------------ Subject: IEEE image processing update From: icip@pine.ece.utexas.edu (International Conf on Image Processing Mail Box) Date: Thu, 24 Feb 1994 11:58:44 -0600 *************************************************************** UPDATE UPDATE UPDATE UPDATE UPDATE UPDATE UPDATE *************************************************************** FIRST IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING November 13-16, 1994 Austin Convention Center, Austin, Texas, USA Dear Colleague: Our records indicate that you are on the ICIP electronic mailing list. We are therefore happy to be able to inform you of current events involving ICIP-94. First, we are developing an exciting program that will include: 4 Tutorials: M. Vetterli & J. Kovacevic on Wavelets B. Girod on Compression of Still and Moving Images R. Haralick on Mathematical Morphology R. Blahut on Imaging Systems 3 Plenary Talks: Paul Lauterbaur, Univ. of Illinois at Urbana-Champaign Peter Burt, Sarnoff Labs Gary Starkweather, Apple Computer 6 Special Sessions: Image Processing Education (R. Bamberger & J. Cozzens) Signal Processing in Magnetic Resonance Imaging (Z. Liang) Mathematical Morphology (D. Schonfeld & I. Pitas) Nonlinear Dynamics in Image Processing (G. Sapiro & A. Tannenbaum) Imaging Modalities (J. Quistgaard) Electronic Imaging (C. Bouman and J. Allebach) In addition there will be an exciting Product Exhibition featuring over 25 booths displaying today's state-of-the-art commercial image processing hardware, software, and accessories. This will be held in the Exhibit Hall at the Austin Convention Center. As of February 23, 1994 (today) we have recieved over 700 paper submissions to ICIP-94 - attesting to the excitement that the conference has engendered in the image processing community. And certainly, presenting a challenge to the ICIP-94 Technical Program Committee to conduct a timely review process! Nevertheless, it is necessary to announce an EXTENDED DUE DATE for further submissions to ICIP-94. This is made necessary because of an error by IEEE Publishing - the ICIP Call for Papers was inadvertently omitted from the recent issues of the IEEE Transactions on Image Processing and the IEEE Transactions on Signal Processing. Since these are our primary means of communicating with the members of the IEEE Signal Processing Society, we felt it necessary to give all SP Society members a chance to participate by advertising in the next available issue - with an extended due date: EXTENDED ICIP-94 SUBMISSION DEADLINE: MARCH 15, 1994. Naturally, this applies to everyone. If you would like another copy of the electronic version of the ICIP-94 Call for Papers, please let us know at icip@pine.ece.utexas.edu with the message "CFP Please." Please note that the above extended deadline is STRICT. Submissions that are postmarked later than March 15, 1994 will not be accepted. This is necessary to ensure a fluid review process. We look forward to seeing you in Austin! THE ORGANIZING COMMITTEE OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING November 13-16, 1994 Austin Convention Center, Austin, Texas, USA ------------------------------ Subject: I SBRN From: alex@inf.ufrgs.br (Alex Guazzelli) Date: Fri, 25 Feb 1994 13:18:38 -0300 I Brazilian Symposium on Neural Networks **************************************** First call for papers Sponsored by the Brazilian Computer Science Society (SBC) You are cordially invited to attend the I Brazilian Symposium on Neural Networks (SBRN) which will be held in Caxambu, Minas Gerais, August 3-4. Caxambu is a tourist city known by its water fountains. SBRN will be part of the XIV Conference of the Computer Science Society. The Conference will be organized by the Federal University of Minas Gerais (UFMG). Scientific papers will be analyzed by the program committee. This analysis will take into account originality, significance to the area, and clarity. Accepted papers will be fully published in the conference proceedings. The I Brazilian Symposium on Neural Networks will discuss the state of the art and future perspectives of the following topics: Neural Networks - Biological Perspectives Theoretical Models Architecture and Topology Learning Models Software Implementations Hardware Implementation Signal Processing Robotics and Control Parallel and Distributed Implementations Applications Cognitive Science Hybrid Systems Dynamic Systems Genetic Algorithms Fuzzy Logic Program Committee: President: Dante Augusto Barone (II/UFRGS) Ricardo Machado (CC-IBM/RJ) Armando Rocha (Unicamp) Tereza Ludermir (DI/UFPE) Geraldo Mateus (DCC/UFMG) Beatriz de Faria Leao (IC-FUC/RS) Luciano da F. Costa (IFQSC/USP) Symposium Organizing Committee: Coordinator: Dante Augusto Barone (II/UFRGS) Tereza Ludermir (DI/UFPE) Edson Filho (DI/UFPE) Philippe Navaux (II/UFRGS) Marcio Carvalho (DCC/UFMG) Submitall Guidelines All manuscripts should be in Portuguese, Spanish or English, in a one-column format 8,5 inch X 11 inch (21,7 X 28 cm). The paper must be printed using a laser printer. The manuscripts should not exceed six pages, including all figures and diagrams. The font size should be 10 points, such as Times-Roman font or its equivalent with the following margins: right and left 2.5 cm, top 3.5 cm, and bottom 2.0 cm. The first page should contain the paper's title, the complete author(s) name(s), affiliation(s), and mailing address(es), followed by an abstract. Four copies (one original and three copies) must be submitted until April 15,1994. In the accompanying letter, the following information must be included: * Manuscript title * first author's name, mailing address and e-mail * Technical area Important Dates: April 15, 1994 (mailing date) Deadline for paper submission May 16, 1994 Notification to authors June 6, 1994 Camera-ready copy August 2-4, 1994 SBRN Mail to: Dante Augusto Barone - SBRN 94 Phone Number: +55 51 3368399 x 6822 Instituto de Informatica Fax: +55 51 3365576 Av. Bento Gongalves, 9500 Caixa Postal 15064 Porto Alegre, RS 91501-970 Brazil For more information about SBRN, please contact its coordinator in the above address, or send an e-mail to barone@inf.ufrgs.br. For more information about the general conference on computer science, please contact its coordinator Prof. Nivio Ziviani through the e-mail nivio@dcc.ufmg.br . Hope to see you in Caxambu! ------------------------------ End of Neuron Digest [Volume 13 Issue 12] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 5956; Sat, 12 Mar 94 18:43:55 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Sat, 12 Mar 94 18:43:52 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA01351; Sat, 12 Mar 94 18:36:25 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA27435; Sat, 12 Mar 94 17:24:46 EST Posted-Date: Sat, 12 Mar 1994 17:23:25 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #13 (s/w + jobs + conference) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Sat, 12 Mar 1994 17:23:25 EST Message-Id: <27352.763511005@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Saturday, 12 Mar 19?4 Volume 13 : Issue 13 Today's Topics: Positions Available LEE V1.1 ALife Model/Simulator Simderella 2.0 is available! U Sheffield position Postdoc Research Fellowship using GAs/ANNs UNIPEN project of data exchange and recognizer benchmarks ISIKNH'94 Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: Positions Available From: michael@eeg.com (Michael Smith) Date: Wed, 09 Feb 1994 18:15:12 -0800 COGNITIVE NEUROSCIENCE RESEARCH POSITIONS AVAILABLE. EEG Systems Laboratory/SAM Technology, Inc in San Francisco has several positions available for qualified individuals to join our interdisciplinary team of researchers who are developing and applying leading-edge methods for analyzing the spatiotemporal dynamics of human brain electrical fields. ASSISTANT RESEARCH SCIENTIST This position is for a highly motivated recent PhD who specializes in studying mental activity using EEG, EPs and other psychophysiological signals, and who is eager to apply that background to the problem of developing practical methods for measuring human brain signals related to attention and mental workload. Good writing, communication, interpersonal, quantitative, and computer skills are essential. ASSISTANT RESEARCH SCIENTIST/ENGINEER The successful candidate for this position should have an MS or PhD degree and extensive knowledge and expertise in human neurophysiology, functional neuroanatomy, bioelectric modeling, and bioelectric inverse problems. A strong background in digital signal processing, finite element modeling, C programming, and image processing will be a plus. NEUROTECHNOLOGY RESEARCH ASSISTANT Part-time or full-time position to assist brain scientists studying human cognition. Primary tasks include subject recruitment and testing and analysis of EEG data. An ideal applicant would have either a BA/BS in psychology, bioengineering, or related field, knowledge of statistics or programming, experience with UNIX and DOS environments, and/or experience with EEG recording techniques. EEG Systems Laboratory is an independent, not-for-profit, brain research laboratory directed by Alan Gevins. It is dedicated to research on higher cognitive functions. Its sister organization, SAM Technology, Inc. is a small company involved with the development of next-generation technology for recording and analyzing brain electrical signals. Our laboratory has state of the art facilities and is located in an attractive building in downtown San Francisco. For questions regarding the nature of any of these positions, please contact Michael Smith (michael@eeg.com). To apply, please send a resume or CV, and, if applicable, representative reprints or preprints, code samples, and transcripts to: ATTN: Jane Zhu SAM TECHNOLOGY, INC. 51 Federal St, San Francisco, CA 94107 FAX 415-546-7122; EMAIL jane@eeg.com ------------------------------ Subject: LEE V1.1 ALife Model/Simulator From: cis.ohio-state.edu!magnus.acs.ohio-state.edu!usenet.ins.cwru.edu!howland.rest on .ans.net!agate!ihnp4.ucsd.edu!network.ucsd.e du!sdcc12!cs!fil@ucbvax.Berkeley.EDU (Filippo Menczer) Organization: CSE Dept., U.C. San Diego Date: 23 Feb 1994 03:41:01 +0000 ========================== LEE release 1.1 Latent Energy Environments ========================== The LEE artificial life simulator is available via public ftp. This is the latest release: the code is under continuous development, so further stable releases will be made available in the future at the same site. You may download the software (Unix/Mac souces and/or executables, documentation, and a technical report) as follows: ftp cs.ucsd.edu (132.239.51.3) login: anonymous password: your_email_address cd pub/LEE get ... bye Filename Format Content - ---------------------------------------------------------------- README ASCII general info lee.doc ASCII documentation pinep.ps.Z compressed PostScript LEE model/results paper lee11.Unix.sh ASCII shar archive LEE 1.1 Unix source lee11.Mac.sh mixed shar archive LEE 1.1 Mac add'l source lee11exe.Mac.sh binhexed shar archive LEE 1.1 Mac executables - ---------------------------------------------------------------- Please read README for general information, and lee.doc for specific information on how to compile and run the program. To get the PostScript paper, use the Unix utility 'uncompress'. To unpack the source and/or Mac executables you must use the Unix utility 'unshar'. After this, to get the binary Mac executables and/or resource file, use, eg, 'BinHex 4.0'. LEE is (c) University of California, San Diego. Authors: Richard Belew and Filippo Menczer (Cognitive Computer Science Research Group, CSE Dept, UC San Diego). Please send important comments, suggestions, and bugs to the latter (fil@ucsd.edu). You may freely copy/distribute the software, except for commercial purposes, and as long and the notices in the source headers are preserved. Other contributions to the code are from: Stefano Nolfi and Jeff Elman; Greg Linden (Mac interactive version); and Federico Cecconi (sensory system). OVERVIEW OF LEE (from lee.doc) ============================== LEE (Latent Energy Environments) is both an Alife model and a software tool to be used for simulations within the framework of that model. We hope that LEE will help us understand a broad range of issues in theoretical, behavioral, and evolutionary biology. The LEE tool described here consists of approximately 7,000 lines of C code and runs in both Unix and Macintosh platforms. The modeling of environmental complexity across different Alife experiments is perhaps the main motivation behind this project. LEE allows the specification of environments of graduated complexity. A spacially distributed series of "atomic elements" must be combined to transform their "latent potential energy" into "work" necessary for survival. Behavioral strategies must be evolved by the population such as to allow an efficient exploitation of the available energy. This latent energy can be used to measure the environment complexity with respect to the survival task. A steady-state genetic algorithm is used in the LEE model rather then a lock-step generational one. The progression of the adaptive process is measured in terms of time rather than generations. At any one time step possibly all the organisms in the population may live, use and/or acquire energy, and reproduce or die. Consequently, the size of the population varies with time. If latent energy is not made available at a rate sufficient to support the energy expense of the population, extintion may occur. An organism is implemented by a feed-forward neural network plus a sensory-motor system and a gut, i.e. a reservoir for energy, both in work (usable) and latent (atomic elements) form. The sensory system consists of a user-specified set of sensors that are mapped onto the network input units. The network may have as many hidden layers as desired. The output layer maps its activation values onto the motor system, made of a set of user-specified motors. Learning can occur in the current version by means of standard back-propagation of error. The error is computed on an input prediction task. Each organisms lives by moving in a world consisting of a rectangular grid with toroidal edge conditions. Each basic life cycle (sweep) consists of 5 steps: 1. Gather information about the surrounding world by means of a set of sensors. 2. Elaborate the sensory information to produce a motor action. 3. Make a movement in the world by means of a set o motors. 4. (Optional) Use the new sensory information as teaching input for a prediction task learned during an organism's lifetime on a subset of the neural net. 5. Consequences of the movement: there is an energy cost, there may be an energy increase or decrease (depending on the contents of the new world position and the reactions caused by the acquisition of such contents), and finally these energy changes may result in death or reproduction. Different sensor systems implemented in the current version are: GUT, CONTACT, and AMBIENT. The first senses elements present in an organism's own gut; the second senses those present in the world cell in front of the position currently occupied by the organism; the third senses those present in a local range, weighed according to their distange in number of steps. Each sensor has a complex that identifies which elements can be sensed by it. There is one simple motor system currently implemented: BINARY. It allows the organism to make one of four possible moves: stay still, turn left or right 90 degrees, or move ahead. Each motor has a power that specifies how far the organism can be moved by it. LIST OF RELATED PAPERS (as of February 1994) ============================================ Menczer F and Belew RK 'Latent Energy Environments: A Model for Artificial Life Complexity' Technical Report CS93-298, July 1993, University of California, San Diego Menczer F and Belew RK 'Latent Energy Environments: A Tool for Artificial Life Simulations' Technical Report CS93-301, July 1993, University of California, San Diego Menczer F 'Changing Latent Energy Environments: A Case for the Evolution of Plasticity' Technical Report CS94-336, January 1994, University of California, San Diego (*) Menczer F and Belew RK 'Latent Energy Environments' to appear in "Plastic Individuals in Evolving Populations", Santa Fe Institute Studies in the Sciences of Complexity, Addison-Wesley (*) This paper is available on the LEE ftp site as 'pinep.ps.Z'. An abstract follows: A novel ALife model and simulator, called LEE, is introduced and described. The motivation lies in the need for a measure of complexity across different ALife experiments. This goal is achieved through a careful characterization of environments in which different forms of energy are well-defined and conserved. A steady-state genetic algorithm is used to model the evolutionary process. Organisms in the population are modeled by neural networks with non-Lamarckian learning during life. Behaviors are shown to be crucial in the interactions between organisms and their environment. The flexibility of LEE for the study of a variety of problems related to complex evolutionary systems is illustrated by some general emerging properties of the model, and by preliminary results of a number of experiment currently under way. === Filippo Menczer and Richard K. Belew Cognitive Computer Science Research Group Dept. of Computer Science and Engineering, 0114 University of California, San Diego La Jolla, CA 92093-0114 USA Fax: (619)534-7029 Email: fil@ucsd.edu === - -- ======================================================================= Filippo Menczer /~~~~\ Viva l'Italia, l'Italia che e' in mezzo al mare \_ / l'Italia dimenticata e l'Italia da dimenticare fil@ucsd.edu \ \ l'Italia meta' giardino e meta' galera ------------------------------ Subject: Simderella 2.0 is available! From: cis.ohio-state.edu!magnus.acs.ohio-state.edu!math.ohio-state.edu!howland.rest on .ans.net!EU.net!sun4nl!fwi.uva.nl!not-for-ma il@ucbvax.Berkeley.EDU (Patrick van der Smagt) Organization: FWI, University of Amsterdam Date: 24 Feb 1994 07:32:52 +0000 *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* * SIMDERELLA 2.0 * *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* Version 2.0 of simderella is here. Major adaptations: - now features Imakefiles; - compiles & runs on Solaris and DEC Alpha; - some C bugs squashed; - bemmel can grab robot with mouse; - major improvements to documentation (i.e., an introductory article describing the package). - includes a stand-alone version of bemmel for drawing geometrical objects, with viewoint rotation. Figures can be dumped to xfig for later inclusion in your papers. Simderella is a robot simulator consisting of three programs: connel: your controller simmel: the simulator bemmel: the X-windows oriented graphics front-end Simmel is the part which actually simulates the robot. It performs a few matrix multiplications, based on the Denavit Hartenberg method, calculates velocities with the Newton-Euler scheme, and communicates with the other two programs. Bemmel only displays the robot. It is a fast general-purpose display method which places separate objects in space depending on the homogeneous matrices it receives from simmel. Connel is the controller, which must be designed by the user. In the distributed version, connel is a simple inverse kinematics routine. No neural networks are included. The three programs communicate via Unix sockets. This means that 1. you need sockets 2. all the programs can run on different machines Since data communication is high-level (all data is encoded before transmission), cross architecture portability is high. In fact, connel can simultaneously control a real robot _and_ the simulated one. Simderella likes to sleep; that is, when nothing happens, no processor time will be used. The software is available via anonymous ftp from galba.mbfys.kun.nl (ip 131.174.82.73), directory pub/neuro-software/pd. Extract the simulator from the tar file by typing at the Unix command line Unix> gunzip -c simderella.2.0.tar.gz | tar xf - or use your favourite extracting commands. In the simderella/ directory, type Unix> xmkmf Unix> make Makefiles Unix> make depend Unix> make The sub-directories are recursively visited and executables are compiled and linked. Supported architectures: Sun (SunOS and Solaris) SGI DEC Alpha HP700 386 et al (running Linux) If you're impatient, execute the thing as follows: cd bemmel; Zoscar & cd .. cd simmel; source env; simmel1 ns & cd .. cd connel; connel s all on one machine. Then type commands like fix-target 50 50 50 inverse 50 50 50 or move the mouse pointer in the bemmel window and press an `l' or `r' or `u' or `d' or .... Many thanks to Conor Doherty. Patrick ------------------------------ Subject: U Sheffield position From: Paul Mc Kevitt Date: Thu, 10 Mar 1994 09:37:44 +0000 THE UNIVERSITY OF SHEFFIELD The Department of Computer Science wishes to recruit a Lecturer Grade A to a fixed 5 year appointment arising from the award of an SERC Advanced Research Fellowship to Dr. P Mc Kevitt. The lectureship will be tenable from 1/10/94 and applications are invited from anyone with research interests in the following areas: Cognitive Systems Computational Models of Hearing Speech Technology Natural Language Processing Computer Graphics Intelligent Tutoring Systems Computer Argumentation Connectionist Language Processing Formal Methods and Software Engineering Theory of Computer Science Software and systems engineering Communication Networks Neural Networks Parallel Systems Safety Critical Systems Parallel Databases CASE Tools for Parallel Systems Further details are available from the Department of Computer Science. Closing date for applications 8th April, 1994. Department of Computer Science Regent Court University of Sheffield 211 Portobello Street GB- S1 4DP, Sheffield England, UK, EU. e-mail: dept@dcs.shef.ac.uk fax: +44 742 780972 phone: +44 742 825590 ------------------------------ Subject: Postdoc Research Fellowship using GAs/ANNs From: agate!howland.reston.ans.net!pipex!uknet!liv!lucs!yatesdf@ucbvax.Berkeley.EDU (Dr. D.F. Yates) Organization: Computer Science, Liverpool University Date: 10 Mar 1994 16:50:26 +0000 University of Liverpool Institute of Advanced Scientific Computation/ Department of Computer Science POSTDOCTORAL RESEARCH FELLOW Applications (from GB Nationals) are invited for a three year postdoctoral research fellowship funded by the SERC, to work on a project aimed at Small Object Recognition in Synthetic Aperture Radar (SAR) Images. The research will entail an investigation of techniques for analysing, classifying and identifying such objects using contextual and other information, and the design of algorithms potentially capable of real-time operation. Applicants should possess, or shortly expect to obtain, a PhD in an appropriate subject area; and should have a numerate background. Experience with Genetic Algorithms or Neural Nets and/or SAR, and exposure to image processing techniques and software such as PV-wave and ERDAS would be advantageous, but is not essential. The fellowship is tenable from April or as soon as possible thereafter. Salary will be on the University Research Grade 1A, starting on or below point 6 - $15186 p.a. Any interested party who would like further information should contact Dr Derek Yates either by post at: Department of Computer Science University of Liverpool P.O Box 147 Liverpool L69 3BX or, preferably, by email: yatesdf@csc.liv.ac.uk ------------------------------ Subject: UNIPEN project of data exchange and recognizer benchmarks From: Isabelle Guyon Date: Fri, 11 Mar 1994 12:08:37 -0500 - - > - > - > - > - > - > - > - > - < - < - < - < - < - < - < - < - < - - - > UNIPEN project of data exchange and recognizer benchmarks < - - - > - > - > - > - > - > - > - > - < - < - < - < - < - < - < - < - < - Isabelle Guyon and Lambert Schomaker - > - > - > - > - > - < - < - < - < - < - < - March 1994 Content: I - UNIPEN ftp site. II - Scrib-L mailing list. III - Tentative schedule for the first UNIPEN benchmark. IV - Information on the IAPR and the Technical Committee 11. V - Information on the Linguistic Data Consortium. VI - Information on the US National Institute of Standards and Technologies. VII - Wish list. Abstract: UNIPEN is a project of data exchange and benchmarks for on-line handwriting recognition, started at the initiative of the technical committee 11 of the IAPR. The data of concern may include handprint and cursive from various alphabets, signatures and gestures captured by a digitizing device providing the pen trajectory. Several tens of companies and universities have already joined UNIPEN and participated in defining a standard data format. These data will be provided by the participants in this common data format and distributed by the Linguistic Data Consortium (LDC) We have the pleasure to confirm that a benchmark organized by the US National Institute of Standards and Technologies (NIST) will take place this year. It will be restricted to the Latin alphabet. Subscription: To subscribe to this news letters, please the following information to: isabelle@neural.att.com Name: Affiliation: Address: Phone: Fax: Email: ------------------------------ Subject: ISIKNH'94 From: fu@cis.ufl.edu Date: Mon, 28 Feb 1994 12:56:13 -0500 (Advance Program and Registration Information) - ------------ ISIKNH'94 Conference Program: (Sponsored by AAAI and University of Florida) Time: May 9-10 1994; Place: Pensacola Beach, Florida, USA. MAY 9, 1994: ======================================================================== Keynote Speech: May 9, 9:00-9:45 a.m. "Representation, Cognitive Architectures and Knowledge and Symbol Levels" B. Chandrasekaran ======================================================================== ======================================================================== Plenary Speech: May 9, 10:00-10:45 a.m. "Fuzzy Logic as a Basis for Knowledge Representation in Neural Networks" Ronald R. Yager ======================================================================== ======================================================================== Plenary Speech: May 9, 11:00-11:45 a.m. "Hybrid Models for Fuzzy Control" Jim Bezdek ======================================================================== **** Lunch Break **** - ------------------------------------------------------------------------ Technical Session 1: (Integration Methodology I) Chair: Armando F. da Rocha May 9, 1:15-2:00 p.m. ``Integrating temporal symbolic knowledge and recurrent networks'' Christian W. Omlin, C. Lee Giles ``Implementing schemes and logics in connectionist models'' Ron Sun ``Integrating rules and neurocomputing for knowledge representation'' Ioannis Hatzilygeroudis - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 2: (Learning) Chair: Ron Sun May 9, 2:15-3:00 p.m. ``Symbolic knowledge from unsupervised learning'' Tharam S. Dillon, S. Sestito, M. Witten, M. Suing ``Genetically refining topologies of knowledge-based neural networks'' David W. Opitz, Jude W. Shavlik ``On using decision tree as feature selector for feed-forward neural networks'' Selwyn Piramuthu, Michael Shaw - ------------------------------------------------------------------------ **** Snack Break **** - ------------------------------------------------------------------------ Technical Session 3: (Fuzziness and Uncertainty) Chair: Lee Giles May 9, 3:30-4:15 p.m. ``Modifying network architectures for certainty-factor rule-base revision'' Jeffrey Mahoney, Raymond Mooney ``Learning EMYCIN semantics'' K.D. Nguyen, R.C. Lacher ``Special fuzzy relational methods for the recognition of speech with neural networks'' Carlos A. Reyes, Wyllis Bandler - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 4: (Integration Methodology II) Chair: Ron Sun May 9, 4:30-5:30 p.m. ``Learning knowledge and strategy of a generic neuro-expert system model'' Rajiv Khosla, T. Dillon ``Integrating symbolic and neural methods for building intelligent systems'' Ricardo Jose Machado, Armando Freitas da Rocha ``Modular integration of connectionist and symbolic processing in knowledge-based systems'' Melanie Hilario ``Symbolic computation with monotonic maps of the interval'' Ron Bartlett, Max Garzon - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Poster Session: May 9, 1:30-4:30 p.m. ``The KoDiag system Case-based diagnosis with Kohonen networks'' Jurgen Rahmel, A. von Wangenheim ``Deriving conjunctive classification rules from neural networks'' Chris Nikolopoulos ``Generalization and fault tolerance in rule-based neural networks'' Hyeoncheol Kim, L. Fu ``Low level feature extraction and hidden layer neural network training'' T. Windeatt, R.G. Tebbs ``Sleeping staging by expert networks'' Hui-Huang Hsu, L. Fu, J. Principe ``Comparison of neural network and symbolic approaches for predicting electricity generation requirements'' Terry Janssen, Eric Bleodorn, Ron Capone, Sue Kimbrough ``Reconciling connectionism with symbolism'' Roman Pozarlik - ------------------------------------------------------------------------ MAY 10, 1994: Registration: 7:30-11:00a.m. ======================================================================== Plenary Speech: May 10, 9:00-9:45 a.m. "Teaching the Multiplication Tables to a Neural Network: Flexibility vs. Accuracy" James Anderson ======================================================================== ======================================================================== Plenary Speech: May 10, 10:00-10:45 a.m. "Words and Weights: What the Network's Parameters Tell the Network's Programmers" Steve Gallant ======================================================================== ######################################################################## Panel Discussions: May 10, 11:00 a.m. - 12:20 p.m. "The Future Direction of AI" Chair: Chris Lacher Panelists: James Anderson, Steve Gallant, Ronald Yager, Ron Sun, Lawrence Bookman. ######################################################################## **** Lunch Break **** - ------------------------------------------------------------------------ Technical Session 5: (Application Methodology I--Finance and Medicine) Chair: Sylvian R. Ray May 10, 1:30-2:15 p.m. ``Building a knowledge base from on-line corpora'' Lawrence A. Bookman ``Multivariate prediction using prior knowledge and neural heuristics'' Kazuhiro Kohara, Tsutomu Ishikawa ``Applying artificial neural networks to medical knowledge domain'' Harry Burke, Philip Goodman, David Rosen - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 6: (Application Methodology II--Engineering) Chair: Lawrence Bookman May 10, 2:30-3:15 p.m. ``Integrating knowledge from multichannel signals'' Sylvian R. Ray ``Using partitioned neural nets and heuristics for optical character recognition'' Kai Bolik, Steven Shoemaker, Divyendu Sinha, Miriam Tausner ``An expert network approach for material selection'' Vivek Goel, Jianhua Chen - ------------------------------------------------------------------------ **** Snack Break **** - ------------------------------------------------------------------------ Technical Session 7: (Language, Psychology, and Cognitive Science) Chair: Steven Walczak May 10, 3:45-4:30 p.m. ``From biological learning to machine learning'' Iver H. Iversen ``RAAMs that can learn to encode words from a continuous stream of letters'' Kenneth A. Hester, Michael Bringmannm, David Langan, Marino Niccolai, William Nowack ``The psychology of associative and symbolic reasoning'' Steven Sloman - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 8: (Integration Methodology III) Chair: Ioannis Hatzilygeroudis May 10, 4:45-5:30 p.m. ``Situation awareness assessments as a means of defining learning tasks for neural networks'' Thomas English ``Integrating neural networks and expert systems for intelligent resource allocation in academic admissions'' Steven Walczak ``Rule constraint and game playing heuristic embedded into a feed forward neural network'' Walter H. Johnson - ------------------------------------------------------------------------ ******* Wrap-Up ******* - --------------------------------------------------------------------- Please send your registration including a registration fee to: Rob Francis ISIKNH'94 DOCE/Conferences 2209 NW 13th Street, STE E University of Florida Gainesville, FL 32609-3476 USA (Phone: 904-392-1701; fax: 904-392-6950) [Registration fee: $250 by April 8, $300 on site, $150 for students] - --------------------------------------------------------------------- - --------------------------------------------------------------------- For registration, please submit the following information to the above address: NAME: _______________________________________ ADDRESS: ____________________________________ _____________________________________________ _____________________________________________ _____________________________________________ _____________________________________________ INSTITUTION/COMPANY: ________________________ PHONE: ______________________________________ FAX: ________________________________________ E-MAIL: _____________________________________ - --------------------------------------------------------------------- ------------------------------ End of Neuron Digest [Volume 13 Issue 13] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 6782; Sun, 13 Mar 94 15:53:01 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Sun, 13 Mar 94 15:52:36 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA24016; Sun, 13 Mar 94 15:44:18 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA11519; Sun, 13 Mar 94 14:50:56 EST Posted-Date: Sun, 13 Mar 1994 14:48:54 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #14 (conferences, workshops, CFP) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Sun, 13 Mar 1994 14:48:54 EST Message-Id: <11474.763588134@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Sunday, 13 Mar 19?4 Volume 13 : Issue 14 Today's Topics: ISIKNH'94 (Knowledge + Neural Heuristics) Tutorial - Neural Networks, Speech Technology, and Other Applications New Submission Deadline for ISMB '94 Conference Workshop: Constructive Induction and Change of Representation CFP-Spl. issue of EJOR on Neural Nets and OR Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: ISIKNH'94 (Knowledge + Neural Heuristics) From: fu@cis.ufl.edu Date: Tue, 01 Mar 1994 15:59:23 -0500 ISIKNH'94 (Advance Program and Registration Information) (International Symposium on Integrating Knowledge and Neural Heuristics) Sponsored by AAAI and University of Florida Time: May 9-10 1994; Place: Pensacola Beach, Florida, USA. MAY 9, 1994: ======================================================================== Keynote Speech: May 9, 9:00-9:45 a.m. "Representation, Cognitive Architectures and Knowledge and Symbol Levels" B. Chandrasekaran ======================================================================== ======================================================================== Plenary Speech: May 9, 10:00-10:45 a.m. "Fuzzy Logic as a Basis for Knowledge Representation in Neural Networks" Ronald R. Yager ======================================================================== ======================================================================== Plenary Speech: May 9, 11:00-11:45 a.m. "Hybrid Models for Fuzzy Control" Jim Bezdek ======================================================================== **** Lunch Break **** - ------------------------------------------------------------------------ Technical Session 1: (Integration Methodology I) Chair: Armando F. da Rocha May 9, 1:15-2:00 p.m. ``Integrating temporal symbolic knowledge and recurrent networks'' Christian W. Omlin, C. Lee Giles ``Implementing schemes and logics in connectionist models'' Ron Sun ``Integrating rules and neurocomputing for knowledge representation'' Ioannis Hatzilygeroudis - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 2: (Learning) Chair: Ron Sun May 9, 2:15-3:00 p.m. ``Symbolic knowledge from unsupervised learning'' Tharam S. Dillon, S. Sestito, M. Witten, M. Suing ``Genetically refining topologies of knowledge-based neural networks'' David W. Opitz, Jude W. Shavlik ``On using decision tree as feature selector for feed-forward neural networks'' Selwyn Piramuthu, Michael Shaw - ------------------------------------------------------------------------ **** Snack Break **** - ------------------------------------------------------------------------ Technical Session 3: (Fuzziness and Uncertainty) Chair: Lee Giles May 9, 3:30-4:15 p.m. ``Modifying network architectures for certainty-factor rule-base revision'' Jeffrey Mahoney, Raymond Mooney ``Learning EMYCIN semantics'' K.D. Nguyen, R.C. Lacher ``Special fuzzy relational methods for the recognition of speech with neural networks'' Carlos A. Reyes, Wyllis Bandler - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 4: (Integration Methodology II) Chair: Ron Sun May 9, 4:30-5:30 p.m. ``Learning knowledge and strategy of a generic neuro-expert system model'' Rajiv Khosla, T. Dillon ``Integrating symbolic and neural methods for building intelligent systems'' Ricardo Jose Machado, Armando Freitas da Rocha ``Modular integration of connectionist and symbolic processing in knowledge-based systems'' Melanie Hilario ``Symbolic computation with monotonic maps of the interval'' Ron Bartlett, Max Garzon - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Poster Session: May 9, 1:30-4:30 p.m. ``The KoDiag system Case-based diagnosis with Kohonen networks'' Jurgen Rahmel, A. von Wangenheim ``Deriving conjunctive classification rules from neural networks'' Chris Nikolopoulos ``Generalization and fault tolerance in rule-based neural networks'' Hyeoncheol Kim, L. Fu ``Low level feature extraction and hidden layer neural network training'' T. Windeatt, R.G. Tebbs ``Sleeping staging by expert networks'' Hui-Huang Hsu, L. Fu, J. Principe ``Comparison of neural network and symbolic approaches for predicting electricity generation requirements'' Terry Janssen, Eric Bleodorn, Ron Capone, Sue Kimbrough ``Reconciling connectionism with symbolism'' Roman Pozarlik - ------------------------------------------------------------------------ MAY 10, 1994: Registration: 7:30-11:00a.m. ======================================================================== Plenary Speech: May 10, 9:00-9:45 a.m. "Teaching the Multiplication Tables to a Neural Network: Flexibility vs. Accuracy" James Anderson ======================================================================== ======================================================================== Plenary Speech: May 10, 10:00-10:45 a.m. "Words and Weights: What the Network's Parameters Tell the Network's Programmers" Steve Gallant ======================================================================== ######################################################################## Panel Discussions: May 10, 11:00 a.m. - 12:20 p.m. "The Future Direction of AI" Chair: Chris Lacher Panelists: James Anderson, Steve Gallant, Ronald Yager, Ron Sun, Lawrence Bookman. ######################################################################## **** Lunch Break **** - ------------------------------------------------------------------------ Technical Session 5: (Application Methodology I--Finance and Medicine) Chair: Sylvian R. Ray May 10, 1:30-2:15 p.m. ``Building a knowledge base from on-line corpora'' Lawrence A. Bookman ``Multivariate prediction using prior knowledge and neural heuristics'' Kazuhiro Kohara, Tsutomu Ishikawa ``Applying artificial neural networks to medical knowledge domain'' Harry Burke, Philip Goodman, David Rosen - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 6: (Application Methodology II--Engineering) Chair: Lawrence Bookman May 10, 2:30-3:15 p.m. ``Integrating knowledge from multichannel signals'' Sylvian R. Ray ``Using partitioned neural nets and heuristics for optical character recognition'' Kai Bolik, Steven Shoemaker, Divyendu Sinha, Miriam Tausner ``An expert network approach for material selection'' Vivek Goel, Jianhua Chen - ------------------------------------------------------------------------ **** Snack Break **** - ------------------------------------------------------------------------ Technical Session 7: (Language, Psychology, and Cognitive Science) Chair: Steven Walczak May 10, 3:45-4:30 p.m. ``From biological learning to machine learning'' Iver H. Iversen ``RAAMs that can learn to encode words from a continuous stream of letters'' Kenneth A. Hester, Michael Bringmannm, David Langan, Marino Niccolai, William Nowack ``The psychology of associative and symbolic reasoning'' Steven Sloman - ------------------------------------------------------------------------ - ------------------------------------------------------------------------ Technical Session 8: (Integration Methodology III) Chair: Ioannis Hatzilygeroudis May 10, 4:45-5:30 p.m. ``Situation awareness assessments as a means of defining learning tasks for neural networks'' Thomas English ``Integrating neural networks and expert systems for intelligent resource allocation in academic admissions'' Steven Walczak ``Rule constraint and game playing heuristic embedded into a feed forward neural network'' Walter H. Johnson - ------------------------------------------------------------------------ ******* Wrap-Up ******* - --------------------------------------------------------------------- Please send your registration including a registration fee to: Rob Francis ISIKNH'94 DOCE/Conferences 2209 NW 13th Street, STE E University of Florida Gainesville, FL 32609-3476 USA (Phone: 904-392-1701; fax: 904-392-6950) [Registration fee: $250 by April 8, $300 on site, $150 for students] - --------------------------------------------------------------------- - --------------------------------------------------------------------- For registration, please submit the following information to the above address: NAME: _______________________________________ ADDRESS: ____________________________________ _____________________________________________ _____________________________________________ _____________________________________________ _____________________________________________ INSTITUTION/COMPANY: ________________________ PHONE: ______________________________________ FAX: ________________________________________ E-MAIL: _____________________________________ - --------------------------------------------------------------------- ------------------------------ Subject: Tutorial - Neural Networks, Speech Technology, and Other Applications From: agate!msuinfo!harbinger.cc.monash.edu.au!bunyip.cc.uq.oz.au!news.qut.edu.au!r ay mond@ucbvax.Berkeley.EDU (Raymond Lister) Organization: Queensland University of Technology Date: 10 Mar 1994 08:00:53 +0000 ************************************************************** NEURAL NETWORKS, SPEECH TECHNOLOGY, AND OTHER APPLICATIONS -- A TUTORIAL -- Thursday April 28 and Friday April 29 1994 Queensland University of Technology, Brisbane, AUSTRALIA Featured Speaker: PROF. NELSON MORGAN, International Computer Science Institute Berkeley, California, USA. PROF. MORGAN is co-author, with Herve Bourlard, of the recent Kluwer Academic Press book ``Connectionist Speech Recognition, A Hybrid Approach'' PROF. MORGAN will be giving a tutorial similar to the one he gave at the NIPS-6 conference at Denver, Colorado in December 1993. NIPS is the premier international conference for research in artificial neural networks. Other speakers: PROF. TOM DOWNS/AH CHUNG TSOI and co-workers from the Speaker Verification Project, Department of Electrical and Computer Engineering, University of Queensland, Australia PROF. JOACHIM DIEDERICH, Professor of Neurocomputing, and other members of the Queensland University of Technology Neurocomputing Research Centre. Venue: 12th Floor, Building ITE ("Information Technology and Engineering"), Gardens Point Campus, Queensland University of Technology, 2 George Street, Brisbane, AUSTRALIA (A short walk from the Brisbane Central Business District.) Day 1 (2-6PM) 1. An Introduction to Neural Networks. This session will serve as a primer for those attendees with no prior background in artificial neural networks. 2. Demonstrations of Applications of Neural Networks at QUT. The Neurocomputing Research Centre at QUT is developing a number of applications, including systems for: predicting blue-green algae blooms; advising in dairy breeding programs; predicting the bleeding rate of patients undergoing heart bypass surgery; and a computer assistant for the handling of electronic mail. Day 2 (full day): 1. Connectionist Continuous Speech Recognition, by Nelson Morgan. This will consist of three 90 minute sessions. 2. Speaker Verification Research at the University of Queensland, by Professors Tom Downs/Ah Chung Tsoi and co-workers. 1. Overview 2. Neural Networks applied to speaker verification 3. Dynamic time warping applied to speaker verification 4. Vector quantization applied to speaker verification 5. Demonstration of a speaker verification system Cost: Registration $A200, Pre-Registration $150 (offer expires 1 week prior to tutorial) Full time postgraduate students are eligible for a 50% discount on the full fee. Proof of enrollment is required: either a photocopy of a current student card, or a letter from the Head of Department. Lunch $A30 Optional, and second day only. Must be accompanied by early registration fee, up to one week prior to tutorial. It will be possible to register on the day, but only cash and cheques will be acceptable. Credit cards cannot be accepted. ******************************************************************* REGISTRATION FORM NEURAL NETWORKS, SPEECH TECHNOLOGY, AND OTHER APPLICATIONS Thursday April 28 and Friday April 29 1994 NAME:_______________________________ AFFILIATION:________________________________________________ ADDRESS:__________________________ __________________________ __________________________ __________________________ TEL: ____________________________ (office hours) FAX: ____________________________ EMAIL: ____________________________ REGISTRATION (tick as appropriate) Full Fee: $200 Early Fee: $150 Student: $100 Lunch: $ 30 ________________ Total: $ - or - I expect to attend but will pay on the day (tick) (Notification of an expectation to attend would be appreciated, as it will aid in making tutorial arrangements. Such notification may be made by electronic mail, along with above particulars.) Make cheques payable to "Faculty Research - Neurocomputing". Credit cards cannot be accepted. Send the registration form and remittance to: Neural Network Tutorial Neurocomputing Research Centre School of Computing Science Queensland University of Technology GPO Box 2434 Brisbane Australia 4001 ******************************************************************* Connectionist Continuous Speech Recognition: A Tutorial by Professor Nelson Morgan Automatic Speech Recognition (ASR) has been a major topic of research for over 40 years. While there has been much progress in this time, it is still a difficult task, and the best systems are still quite limited. Since computers have rapidly grown much more powerful, statistically-oriented data-driven approaches have received much more attention over the last 10 years. These approaches automatically learn speech model parameters from the data, and have proven to be very successful. The dominant approach for such systems uses Hidden Markov Models (commonly based on an assumption of Gaussian or mixture Gaussian probability densities for the data in each sound class) to represent speech. However, over the last 5 years, a set of techniques have been developed at Berkeley and elsewhere using a hybrid of connectionist probability estimators and Hidden Markov Models. In this tutorial, the basics of automatic speech recognition, Hidden Markov Models, and probability estimation with layered connectionist networks will be reviewed, followed by a more detailed explanation of the current state of development for this class of approaches. The goal of the tutorial will be to acquaint the participants with the major issues of connectionist speech recognition, rather than to exhaustively review the range of approaches under investigation worldwide. Brief Notes about the Instructor: Nelson Morgan is the leader of a research group at the International Computer Science Institute whose charter is a mixture of connectionist computational engine design and the incorporation of such engines into research into speech and hearing in order to improve auditory machine perception. Together with Herve Bourlard, he is the author of the recent Kluwer Academic Press book ``Connectionist Speech Recognition, A Hybrid Approach'', and was the co-developer (with Bourlard) of many of these techniques. He is also on the faculty at the University of California at Berkeley. ******************************************************************* For further information please contact: Dr Raymond Lister email: raymond@fitmail.fit.qut.edu.au or Prof. Joachim Diederich Tel: +617 864 2143 email: joachim@fitmail.fit.qut.edu.au or either by Fax: +617 864 1801 ------------------------------ Subject: New Submission Deadline for ISMB '94 Conference From: dog.ee.lbl.gov!agate!headwall.Stanford.EDU!nntp!brutlag@ucbvax.Berkeley.EDU (Doug Brutlag) Organization: Stanford University Date: 10 Mar 1994 13:35:30 +0000 *************** CHANGE IN SUBMISSION DEADLINE ***************** Due to late advertisement and numerous requests, we are changing the deadline for submission of papers to March 25, 1994. Papers must be received by March 25 to be considered. The Second International Conference on Intelligent Systems for Molecular Biology August 15-17, 1994 Stanford University Organizing Committee New Deadlines Russ Altman, Stanford U, Stanford Papers due: March 25, 1994 Doug Brutlag, Stanford U, Stanford Replies to authors: May 6, 1994 Peter Karp, SRI, Menlo Park Revised papers due: June 3, 1994 Richard Lathrop, MIT, Cambridge David Searls, U Penn, Philadelphia Program Committee K. Asai, ETL, Tsukuba A. Lapedes, LANL, Los Alamos D. Benson, NCBI, Bethesda M. Mavrovouniotis, Northwestern U, Evanston B. Buchanan, U of Pittsburgh G. Michaels, George Mason U, Fairfax C. Burks, LANL, Los Alamos G. Myers, U. Arizona, Tucson D. Clark, ICRF, London K. Nitta, ICOT, Tokyo F. Cohen, UCSF, San Francisco C. Rawlings, ICRF, London T. Dietterich, OSU, Corvallis J. Sallatin, LIRM, Montpellier S. Forrest, UNM, Albuquerque C. Sander, EMBL, Heidelberg J. Glasgow, Queen's U., Kingston J. Shavlik, U Wisconsin, Madison P. Green, Wash U, St. Louis D. States, Wash U, St. Louis M. Gribskov, SDSC, San Diego G. Stormo, U Colorado, Boulder D. Haussler, UCSC, Santa Cruz E. Uberbacher, ORNL, Oak Ridge S. Henikoff, FHRC, Seattle M. Walker, Stanford U, Stanford L. Hunter, NLM, Bethesda T. Webster, Stanford U, Stanford T. Klein, UCSF, San Francisco X. Zhang, TMC, Cambridge The Second International Conference on Intelligent Systems for Molecular Biology will take place at Stanford University in the San Francisco Bay Area, August 14-17, 1994. The ISMB conference, held for the first time last summer in Bethesda, MD, attracted an overflow crowd, yielded an excellent offering of papers, invited speakers, posters and tutorials, provided an exciting opportunity for researchers to meet and exchange ideas, and was an important forum for the developing field. We will continue the tradition of pre-published, rigorously refereed proceedings, and opportunities for fruitful personal interchange. The conference will bring together scientists who are applying the technologies of advanced data modeling, artificial intelligence, machine learning, probabilistic reasoning, massively parallel computing, robotics, and related computational methods to problems in molecular biology. We invite participation from both developers and users of any novel system, provided it supports a biological task that is cognitively challenging, involves a synthesis of information from multiple sources at multiple levels, or in some other way exhibits the abstraction and emergent properties of an "intelligent system." The four-day conference will feature introductory tutorials (August 14), presentations of original refereed papers and invited talks (August 15-17). Paper submissions should be single-spaced, 12 point type, 12 pages maximum including title, abstract, figures, tables, and bibliography with titles. The first page should include the full postal address, electronic mailing address, telephone and FAX number of each author. Also, please list five to ten keywords describing the methods and concepts discussed in the paper. State whether you wish the paper to be considered for oral presentation only, poster presentation only or for either presentation format. Submit 6 copies to the address below. For more information, please contact ismb@camis.stanford.edu. Proposals for introductory tutorials must be well documented, including the purpose and intended audience of the tutorial as well as previous experience of the author in presenting such material. Those considering submitting tutorial proposals are strongly encouraged to submit a one-page outline, before the deadline, to enable early feed-back regarding topic and content suitability. The conference will pay an honorarium and support, in part, the travel expenses of tutorial speakers. Limited funds are available to support travel to ISMB-94 for those students, post-docs, minorities and women who would otherwise be unable to attend.. Please submit papers and tutorial proposals to: Intelligent Systems for Molecular Biology c/o Dr. Douglas L. Brutlag Beckman Center, B400 Department of Biochemistry Stanford University School of Medicine Stanford, California 94305-5307 ------------------------------ Subject: Workshop: Constructive Induction and Change of Representation From: dog.ee.lbl.gov!agate!howland.reston.ans.net!news.ans.net!news.nynexst.com!faw ce tt@ucbvax.Berkeley.EDU (Tom Fawcett) Organization: NYNEX Science and Technology Date: 10 Mar 1994 16:49:11 +0000 ML/COLT '94 WORKSHOP Constructive Induction and Change of Representation This workshop is part of the 1994 ML/COLT (Machine Learning / Computational Learning Theory) Conference. Workshops will be held on Sunday, July 10th, on the New Brunswick campus of Rutgers University. - ------------------------------------------------------------ An appropriate representation is critical to the success of an inductive learning task. In difficult learning problems (eg protein folding, word pronunciation, gene identification), considerable human effort is often required to identify useful terms of the representation language. In an effort to make learning more autonomous, researchers have investigated the problem of generating or modifying new representations automatically. The past five years have seen a significant increase in the amount of work in this area. Some methods developed have been able to effect increases in classification accuracy. Others are able to derive features similar to those discovered previously by humans. Still other systems have demonstrated impressive performance improvement through the construction of new representations. In spite of these successes, we are still far from understanding the range and limitations of current methods, or the kind of representation change that real-world domains may require. The objective of this workshop is to examine issues in current work and to review progress made so far. The workshop will also serve as a forum for the exchange of ideas among researchers actively working on these issues. Topics of interest include, but are not limited to, the following: - Empirical approaches and the use of inductive biases - Use of domain knowledge in the construction and evaluation of new terms - Construction of or from relational predicates - Introduction of new terms by analytic theory revision systems - Unsupervised learning and credit assignment in constructive induction - Interpreting hidden units as constructed features - New terms as indices in instance-based learning or case-based reasoning - Constructive induction in human learning - Experimental studies of constructive induction systems - Theoretical proofs, frameworks, and comparative analyses - Comparison of techniques from empirical learning, analytical learning, classifier systems, and neural networks WORKSHOP FORMAT Attendance to the workshop will be open. The workshop will consist of presentations of accepted papers and a final panel discussion. The panel will recap the workshop and discuss the state of constructive induction and current open questions. SUBMISSIONS Paper submissions should not exceed 3000 words (about six single-spaced pages, including figures and tables, but excluding bibliography). Four copies of each paper should be sent to the contact address below. Alternatively, one copy of a postscript file may be sent via e-mail. Each paper should include an e-mail contact address of one of the authors. The papers will comprise a set of working notes, copies of which will be available at the workshop. We encourage descriptions of work in progress as well as position papers. Authors are encouraged to evaluate their systems on real-world domains and to critique their methods with respect to the following questions: - - In your system, what is the relationship between the feature generation and induction? Can the feature generation method be adapted to other forms of induction? - - How does the method evaluate or select the features that it generates? - - Is the method sensitive to the cost of the features? Can it create features of unbounded expense? - - Whasensitive to the cost of the features? Can it create features of unbounded expense? - - What real-world domain(s) has the method been applied to? What characteristics of each domain makes feature generation useful or necessary? For what general class of domain might the method be useful? - - Can the method exploit existing domain knowledge? What forms of domain knowledge can be exploited? - - What features are already known for the domain being addressed? Can the method re-derive any of them? - - What forms (eg, propositional, relational, numerically weighted) can the generated features take? Does this limit the method? SCHEDULE Paper submissions due 25 April Decisions made, submitters get feedback 22 May Final working-note submissions due 15 June Workshop 10 July PROGRAM COMMITTEE Tom Fawcett (chair), NYNEX Science and Technology James Callan, University of Massachusetts at Amherst Chris Matheus, GTE Laboratories Inc. Ryszard Michalski, George Mason University Michael Pazzani, University of California at Irvine Larry Rendell, University of Illinois at Urbana-Champaign Rich Sutton, GTE Laboratories Inc. CONTACT ADDRESS Tom Fawcett NYNEX Science and Technology 500 Westchester Ave. White Plains, NY 10604 e-mail: fawcett@nynexst.com ------------------------------ Subject: CFP-Spl. issue of EJOR on Neural Nets and OR From: sharda@orcs.bus.okstate.edu (Ramesh Sharda) Date: Sat, 12 Mar 1994 14:28:33 -0600 Pl. post the follwoing CFP on your digest. Thanks CALL FOR PAPERS Special issue on Neural Networks and Operations Research/Management Science European Journal of Operational Research Original papers are sought for publication (in early 1996) in a special issue of the European Journal of Operational Research on neural networks and operations research/management science. The purpose of this special issue is to address the recent advances in the fields of neural networks and operations research/management science (OR/MS). From an operations research/management science perspective, the neural networks offer three opportunities: alternatives to traditional statistical methods, new approaches for optimization, and a problem domain to apply OR/MS algorithms. The objectives of this special issue are to present the latest research activities in all three dimensions of the interface between neural networks and operations research/management science. The papers could describe the use of OR/MS methodology for developing neural networks or the use of neural networks for solving problems where the traditional OR/MS techniques have been employed. Papers reporting applications of neural networks in cooperation with OR/MS techniques are especially welcome. Authors are invited to submit four copies of their papers to either of the guest editors listed below by August 1, 1994. All submitted papers will be strictly reviewed according to the procedures of the Journal to ensure the relevance to the special issue and originality/quality of the contributions. Guest Editors: Professor Ramesh Sharda College of Business Administration Oklahoma State University Stillwater, OK 74078 USA (405) 744-8638 / Fax: (405) 744-5180 email: sharda@vm1.ucc.okstate.edu Professor Jun Wang Dept. of Industrial Technology University of North Dakota Grand Forks, ND 58202 USA (701) 777-2201 / Fax: (701) 777-4320 email: jwang@plains.nodak.edu - -- Ramesh Sharda College of Business Administration, Oklahoma State University Stillwater, OK 74078 USA email: sharda@orcs.bus.okstate.edu or sharda@vm1.ucc.okstate.edu ------------------------------ End of Neuron Digest [Volume 13 Issue 14] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 1734; Mon, 14 Mar 94 23:55:27 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Mon, 14 Mar 94 23:55:23 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA12061; Mon, 14 Mar 94 23:44:17 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA22164; Mon, 14 Mar 94 22:39:05 EST Posted-Date: Mon, 14 Mar 1994 22:37:54 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #15 (CFP) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Mon, 14 Mar 1994 22:37:54 EST Message-Id: <22159.763702674@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Monday, 14 Mar 19?4 Volume 13 : Issue 15 Today's Topics: ICNN '94 Call for Participation Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: ICNN '94 Call for Participation From: Dennis W. Ruck Date: Mon, 07 Mar 1994 13:28:44 -0500 IIIIIIIIIII CCCCCCCCC NNN NN NNN NN '' 99999999 44 44 III CC CC NNNN NN NNNN NN '' 99 99 44 44 III CC NN NN NN NN NN NN 99999999 444444444 III CC NN NN NN NN NN NN 99 44 III CC CC NN NNNN NN NNNN 99 44 IIIIIIIIIIII CCCCCCCCC NN NNN NN NNN 99 44 -------------------------- REGISTRATION INFORMATION -------------------------- IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE Orlando, FLA June 26-July 2, 1993 IEEE International Conference on Neural Networks Third IEEE International Conference on Fuzzy Systems The IEEE Conference on Evolutionary Computation Special Plenary Symposium "Computational Intelligence: Imitating Life" -> Over 1600 Refereed and Invited Presentations <- -> 43 Cutting Edge Plenary Presentations <- - -> Eighteen Cutting Edge Tutorials on Newest Innovations <- -> Current Technology Exhibits <- *** * ** ** *** ** **** **** **** * * ** ***************** * ***** * * ** ************ * * X ************** * **** ****** ** ** ****** ***** ******* * *** ** *** * ** * *** *** * * ***** * * * * Sponsored by the IEEE Neural Networks Council Exhibits organized by SPIE ******************************************** FREE CD-ROMS OF ICNN'93 AND FUZZ-IEEE FOR THE FIRST 1000 REGISTRANTS ******************************************** For additional information, please contact: WCCI'94 Conference Office Meeting Management 2603 Main Street, Suite 690 Irvine, CA 92714 Tel. (714) 752-8205 Fax (714) 752-7444 e-mail: 74710.2266@compuserve.com CONTENTS OF THIS POSTING: 1. General Conference Information 2. Conference Registration Form 3. Tutorial Registration 4. Methods of Payment 5. Hotel Registration Form 6. Spouse Activities 7. Tutorial Titles 8. Tutorial Abstracts ****************************************** 1. General Conference Information ****************************************** The 1994 IEEE World Congress on Computational Intelligence consists of three IEEE International Conferences: The Third IEEE International Conference on Fuzzy Systems, IEEE International Conference on Neural Networks, and The IEEE Conference on Evolutionary Computation. Over 1600 refereed and invited papers will be presented in these Conferences as well as to a special five day Symposium entitled "Computational Intelligence: Imitating Life." This Symposium will be held Monday, June 27 through Friday, July 1, 10:20AM to 12:20PM. The Congress Inaugural will be held Tuesday, June 28, 6:30PM to 7:15PM. Special Plenary Symposium COMPUTATIONAL INTELLIGENCE: IMITATING LIFE June 27 - July 1, 1994 For the first time in one meeting, the main threads of the topics in computational intelligence are woven into a single cohesive fabric. The Symposium addresses the exciting emerging technologies and issues relating to biologically, psychologically and linguistically motivated models that exhibit various facets of computational intelligence. Machine learning from data, neuro-fuzzy information processing, approximate reasoning, vision/qualitory modeling and evolutionary computation, are examples of computational intelligence approaches addressed by Symposium speakers. The Symposium provides a unique forum for cross- fertilization between the areas of neural networks, fuzzy logic, and evolutionary computation. The Symposium consists of three public lectures, 10 plenary talks and 30 mini-symposia presentations; covering neural networks (21), fuzzy logic (13), and evolutionary computation (9). Contributions include research that has implications for further progress in the field, state-of- the-art reviews, followed by discussions of important applications in fields such as robotics and control, image processing, vision, and biology. The presentations will be highly focused but still tutorial. Symposium speakers represent the top internationl researchers and practioners of this cutting edge technology. "Computational Intelligence: Imitating Life" companion volume to this Symposium will be complimentary to each registered participant of the Congress. For more information, contact Symposium Chair: Dr. Jacek Zurada University of Louisville Louisville, KY 40292, USA PHONE: (502)852-6314, FAX: (502)852-6807 EMAIL: jmzura02@ulkyvx.louisville.edu ****************************************** 2. CONFERENCE REGISTRATION FORM ****************************************** Indicate Conference Selection (you may attend sessions from all three conferences) ( ) FUZZY ( ) NEURAL NETWORKS ( ) EVOLUTIONARY COMPUTATION NAME Last Name ________________________________ First Name ________________________________ Middle Initial ____________________________ _____________________ IEEE Membership Number (needed to qualify for IEEE Member discount) MAILING ADDRESS City _________________________________________ State and ZIP (USA only)______________________ Country ______________________________________ Phone ________________________________________ FAX __________________________________________ e-mail _______________________________________ Information to appear on Badge: Title (Circle One) Ms Dr Prof no title other____________________ Full Name ______________________________________ Affiliation______________________________________ City/State/Country ______________________________ CONFERENCE REGISTRATION FEES: before April 15, 1994 after April 15, 1994 IEEE Members $350.00 $425.00 Non-Members $420.00 $495.00 Students* $ 90.00 $150.00 * A letter from the Department Head to verify full-time student status at the time of registration is required. At the conference, all students must present a current student ID with picture. Student registration does not include social functions. Full Conference Registration permits attendance at Congress functions, the Symposium, technical sessions of all three conferences, and the individual reception of the conference selected. Your registration fee includes the Proceedings (for the conference selected: FUZZ-IEEE'94, ICNN '94 or ICEC '94) and the Symposium Proceedings. A complete set of Proceedings for all three conferences is available for an additional $105. *Please note that Proceedings will be available after the conference from IEEE, although the price for each will increase at that time. 3. TUTORIAL REGISTRATION Before April 15, 1994 After April 15, 1994 Regular Student Regular Student One Tutorial $225 $125 $300 $150 Two Tutorials $350 $200 $450 $225 Three Tutorials $475 $275 $600 $300 Four Tutorials $650 $350 $750 $375 Each additional $125 $ 75 $150 $75 Tutorial Selection (Circle desired tutorials) 1A 1B 2 3A 3B 4A 4B 5A 5B 6 7A 7B 8 9A 9B 10 11 12 13 14 15 16 17 18A 18B Alternate Tutorial(s) 1A 1B 2 3A 3B 4A 4B 5A 5B 6 7A 7B 8 9A 9B 10 11 12 13 14 15 16 17 18A 18B Payment(s): Registration Fees U.S. $____________ Tutorial Fees U.S. $____________ All Three Proceedings ($105) U.S. $____________ Grand Total U.S. $____________ ****************************************** 4. Methods of Payment: ****************************************** $ CHECK. All check payments made outside of the USA must be made on a USA bank in US dollars. Please make check payable to WCCI '94 $ CREDIT CARDS. Only VISA, MC and Amex accepted. Payment may be through e-mail. Registrations submitted by fax or surface mail must include an authorized signature. ( ) Visa ( ) M/C ( ) Amex Name on Credit Card ______________________________________ Credit Card Number _______________________________________ Exp. Date ________________________________________________ Authorized Signature _____________________________________ All Conference (other than hotel) Registration material is to be sent to WCCI '94 Conference Office Meeting Management 2603 Main Street, Suite 690 Irvine, CA 92714 USA Tel. (714) 752-8205 Fax (714) 752-7444 e-mail: 74710.2266@COMPUSERVE.COM 5. HOTEL RESERVATION FORM Reservation Payment may be made by Check or Credit Card. Mail this form and payments to: Walt Disney Sheraton World Dolphin Attention: Reservations Department 1500 EPCOT Resort Blvd. Lake Buena Vista, FL 32830 Please make checks payable to: Walt Disney World Dolphin Check Desired Accommodations: Single $145 _____ Double $145 _____ Non-Smoking _____ If requested bedding is not available, alternate bedding will be assigned NOTE: The standard rates during this time period start at $255.00 per night, the conference rates offer a substantial savings. Arrival Date: __________ Departure Date: __________ Check-in Time: 3:00 pm Check-out Time 11:00 am Name ______________________________________________________ Mailing Address ____________________________________________ City/State/Country/ZIP _____________________________________ ___________________________________________________ ___________________________________________________ Phone ___________________________________ FAX ___________________________________ Sharing Room With (if applicable) __________________________ Sheraton Club International Number (if applicable)__________________________ Deadline Date: May 27, 1994 Please reserve before May 27, 1994, after this date, rooms are subject to availability. Please circle credit card type: Visa M/C Amex DC CB ER DI JCB Credit Card Number _____________________________________ Exp. Date ______________________________________________ Name on Credit Card ____________________________________ Authorized Signature ___________________________________ All reservations require a one night's deposit. Failure to cancel your reservation 5 days prior to arrival will result in forfeit of deposit. Group rates can only be confirmed by using this reservation form or calling the hotel directly. For any questions or further information regarding your request , please call our Reservations Office (toll free from the U.S.) at (800) 227- 1500, Fax # (407) 934-4710, or contact the hotel directly at (407) 934-4000. To avoid duplication, please do not mail this form if you make your reservation by telephone or telefax. ****************************************** 6. Spouse Activities ****************************************** * Tee times on three nearby WALT DISNEY WORLD Championshiop Golf Courses. * The Walt Disney World Dolphin connects by waterways and walkways to EPCOT Center and the Disney-MGM Studios Theme Park. Convenient complimentary Disney-operated transportation ties directly to the MAGIC KINGDOM Park, Pleasure Island, Typhoon Lagoon, the Disney Village Marketplace, 3 nearby championship golf courses and other areas of the Vacation Kingdom. The Dolphin offers the following hotel amenities. * Two acre swimming area with three pools, including a themed grotto area with slide, waterfalls and whirlpool area, lap pool plus lakeside white sand beach with special activities and watercraft rental. * Camp Dolphin, offering a wide range of youth activities * Eight night-lit, hard tennis courts * One-on-One personal fitness training under the guidance of "Body by Jake", with sauna, whirlpool, weight room, and exercise equipment ****************************************** 7. TUTORIAL TITLES ****************************************** For the first time, the World Congress joins three IEEE conferences on neural networks, fuzzy systems, and evolutionary computation in a single comprehensive forum. The forum presents two days of tutorials designed to provide information and help attendees keep pace with developments in paradigms that are guiding the development of models for computational intelligence. WCCI tutorials will be held on Sunday, June 26, 1994 and Wednesday, June 29, 1994. The WCCI Organizing Committee reserves the right to cancel tutorials and refund payment should registration not meet the minimum number of persons per course. SUNDAY JUNE 26, 1994 #1A Evolution Strategies: A Thorough Introduction Professor Thomas Beack #2 Genetic Algorithms and Their Applications Dr. Lawrence "David" Davis #3A An Introduction to Evolutionary Computation Dr. David B. Fogel #4A Genetic Programming Dr. John R. Koza #5A Genetics-Based Machine Learning in Rule-Based and Neural Systems Professor Robert E. Smith #7A An Introduction to Fuzzy Logic Professor James Bezdek #9A Fuzzy Logic Applications to Artificial Intelligence and Intelligent Control Systems Dr. Enrique H. Ruspini #10 Fuzzy Logic in Computer Vision Professor James M. Keller #11 Fuzzy Neurocomputations Professor Witold Pedrycz #12 Fuzzy Data Analysis Professor Dr. Dr.h.c. Hans-Jurgen Zimmermann #18A Learning Algorithms In Neural Networks Professor Jacek M. Zurada WEDNESDAY JUNE 29, 1994 #1B Evolution Strategies: A Thorough Introduction Professor Thomas Beack #3B An Introduction to Evolutionary Computation Dr. David B. Fogel #4B Genetic Programming Dr. John R. Koza #5B Genetics-Based Machine Learning in Rule-Based and Neural Systems Professor Robert E. Smith #6 Genetic Algorithms: Theoretical Foundations and Experimental Evaluation Professor Darrell Whitley #7B An Introduction to Fuzzy Logic Professor James Bezdek #8 Fuzzy Sets in Constraint Satisfaction Dr. Didier Dubois #9B Fuzzy Logic Applications to Artificial Intelligence and Intelligent Control Systems Dr. Enrique Ruspini #13 Applications of Neural Networks to Virtual Reality Professor Thomas P. Caudell #14 Hybrid Systems: Neural, Symbolic, and Fuzzy Professor Lawrence O. Hall and Professor Abraham Kandel #15 Basics of Building Market Timing Systems: Making Money with Neural Networks Casimir C. Klimasauskas #16 Practical Applications of Neural Network Theory Dr. Robert Hecht-Nielsen #17 Computational Studies of Biological Neural Networks: Introduction and Applications to Vision and Sensory-Motor Control Professor Paolo Gaudiano #18B Learning Algorithms in Neural Networks Professor Jacek M. Zurada ****************************************** 8. TUTORIAL ABSTRACTS ****************************************** #1 Evolution Strategies: A Thorough Introduction Professor Thomas Beack Computer Science Department, LS XI University of Dortmund, Dortmund, Germany In addition to Genetic Algorithms and Evolutionary Programming, the Evolution Strategy (Evolutionsstrategie) by Rechenberg and Schwefel forms the third major representative of Evolutionary Algorithms. Since its development in the 1960's at the Technical University of Berlin (Germany) for solving experimental optimization problems, the computer algorithm has been successfully applied to numerous hard continuous parameter optimization problems (an application field where Evolution Strategies reveal their strengths in comparison to the more familiar Genetic Algorithms). The tutorial presents a thorough introduction to Evolution Strategies, with special emphasis on the following topics: history of evolution strategies, detailed presentation and explanation of the algorithm, genetic operators and parameter settings, self-adaptation of strategy parameters, theory of evolution strategies, selected application examples of evolution strategies, evolution strategies for neural networks and fuzzy logic, guidelines for practitioners, and comparison to genetic algorithms and evolutionary programming. #2 Genetic Algorithms and Their Applications Dr. Lawrence "David" Davis Tica Associates Cambridge, MA Genetic algorithms are techniques for optimization and machine learning that have been applied to a wide range of real-world problems. This tutorial consists of an overview of genetic algorithms, a discussion of techniques for applying them, a survey of areas in which they have been applied, and several application case studies. Particularly stressed in the tutorial will be traditional and nontraditional genetic algorithms for numerical function optimization; the use of order-based genetic algorithms for combinatorial optimization; and techniques for hybridizing genetic algorithms with other optimization algorithms. #3 An Introduction to Evolutionary Computation Dr. David B. Fogel Natural Selection, Inc. La Jolla, CA The impact of evolutionary thinking on biology cannot be underestimated. Indeed, many biologists have remarked that the study of life cannot be conducted reasonably in the absence of an evolutionary paradigm. But evolutionary thought extends beyond an ordering principle of biology. Evolution is a process that can be simulated on a computer and used for solving difficult engineering problems and gaining insight into natural evolved systems. This tutorial, aimed at researchers in neural networks and fuzzy systems, and beginners in the field of evolutionary computation, will introduce methods of evolutionary computation. These include genetic algorithms, evolution strategies and evolutionary programming, as well as related techniques. The fundamental philosophical foundations of the methods will be discussed and applications will be described, including synergistic efforts of combining evolutionary optimization with connectionist and fuzzy systems. #4 Genetic Programming Dr. John R. Koza Consulting Professor Computer Science Department, Stanford University, Palo Alto CA Genetic programming extends the genetic algorithm to the domain of computer programs and genetically breeds populations of computer programs to solve problems. Genetic programming can solve problems of system identification, optimal control, pattern recognition, equation solving, game playing, optimization, and planning. Starting with hundreds or thousands of randomly created programs, the population is progressively improved by applying Darwinian fitness proportionate reproduction and crossover (sexual recombination). Many problem environments have regularities, symmetries, and homogeneities that can be exploited in solving the problem. The recently developed facility of automatic function definition enables genetic programming to dynamically decompose a problem into simpler subproblems, solve the subproblems, and assemble original problem. Experimental evidence suggests that automatic function definition reduces the computation effort needed to solve a problem and produces a simpler and more understandable overall solution. #5 Genetics-Based Machine Learning in Rule-Based and Neural Systems Professor Robert E. Smith Department of Engineering Science and Mechanics The University of Alabama, Tuscaloosa, AL This tutorial covers the application of genetic algorithms (GAs) in machine learning. Machine learning is introduced in the framework of control, with an emphasis on reinforcement learning, where the system must learn through a exploration. A brief overview of GAs is also provided. Given this background, the tutorial discusses rule-based, neural, and fuzzy techniques that utilize GAs. A rule-based technique, the learning classifier system (LCS), is shown to be analogous to a neural network. The integration of fuzzy logic into the LCS is also discussed. Research issues related to GA-based learning are overviewed. The application potential for genetics-based machine learning is discussed. #6 Genetic Algorithms: Theoretical Foundations and Experimental Evaluation Professor Darrell Whitley Computer Science Department Colorado State University, Fort Collins, CO The principle of hyperplane sampling will be examined, as well as exact theoretical models of a canonical genetic algorithm. Other topics include: deception, remapping hyperspace, stochastic hill climbing versus hyperplane sampling and the case against gray coding for test functions. Holland's schema theorem and the K-arm bandit analogy will be reviewed and critiqued. Alternative forms of the genetic algorithm such as Genitor, CHC, Evolution Strategies and parallel genetic algorithms will be reviewed. The practical implications of the existing theory will be explored with respect to implementing and applying genetic algorithms to complex problems. Examples are given where simple theoretical insights result in improved search on problems of more than 500 variables. #7 An Introduction to Fuzzy Logic Professor James Bezdek Department of Computer Science University of West Florida, Pensacola, FL This tutorial begins by developing the basis for fuzzy models. The first hour starts with a discussion of uncertainty in models and its importance for system design. Membership functions and fuzzy set operations are defined. We pose and answer some basic questions about fuzzy models - e.g., where do they come from? how are they evaluated? how do they compare with probability models? The second hour presents two applications vignettes. The first considers stabilization of the simple inverted pendulum. We compare the classical (linear feedback) and fuzzy control approaches, and discuss design issues such as tuning and stability. The second application area is segmentation of image data. Several approaches based on fuzzy and neural models are presented and compared. #8 Fuzzy Sets in Constraint Satisfaction Dr. Didier Dubois Institut de Recherche en Informatique de Toulouse Universite Paul Sabatier, Toulouse Cedex - France Constraint-directed search is a very general and powerful methodology for problem solving, which is particularly adapted to finite domains involving high combinatorial complexity. The aim of this tutorial is to show that fuzzy set theory and constraint satisfaction can be easily and usefully put together. The tutorial will describe the approach pioneered by Bellman and Zadeh for the modeling of fuzzy constraints, and point out the difference between a fuzzy constraint and an objective function, address how to imbed flexible constraint satisfaction in Zadeh's calculus of fuzzy relations, whose aim is to propagate preference in constraint networks, and review in detail the applications of fuzzy constraint satisfaction in the field of production research, and especially job-shop scheduling. The fuzzy methodology will be compared to knowledge-based job-shop scheduling techniques that come from Artificial Intelligence. #9 Fuzzy Logic Applications to Artificial Intelligence and Intelligent Control Systems Dr. Enrique H. Ruspini Artificial Intelligence Center SRI International, Menlo Park, CA We present first fuzzy logic as a methodology concerned with the representation and analysis of vague and uncertain aspects of reality. Using a unified model of approximate-reasoning methods, we discuss the nature of fuzzy-logic methods and compare them with other uncertainty-modeling techniques such as probabilistic reasoning. Using this model, we also show that fuzzy logic is a sound deductive technique relying on the notions of utility and preference. Based on such a characterization, we present an emerging set of procedures for the development and analysis of fuzzy models. Problems such as the derivation of possibility distributions, their interpretation, the representation of vague knowledge, the integration of multiple conflicting objectives, and the explanation of planning and control choices are handled in this framework by means of sound procedures rooted on logical concepts and principles. We illustrate the nature of these techniques by means of examples of their application to the development of intelligent devices and systems. In particular, we focus on the architecture and operation of the motion controller for SRI's Autonomous Mobile Robot, Flakey. #10 Fuzzy Logic in Computer Vision Professor James M. Keller Electrical and Computer Engineering Department University of Missouri-Columbia, Columbia, MO Computer vision is the study of theories and algorithms for automating the process of visual perception. This involves tasks such as noise removal, smoothing, and sharpening of contrast; segmentation of images to isolate objects and regions and description and recognition of the segmented regions; and finally interpretation of the scene. The purpose of this tutorial is to give an overview of the fuzzy set theoretic approach to computer vision. The applications of fuzzy set theory in computer vision in the areas of image modeling, preprocessing, segmentation, boundary detection, object/region recognition, and reasoning will be discussed. Techniques presented are demonstrated on real imaging problems. #11 Fuzzy Neurocomputations Professor Witold Pedrycz Dept. of Electrical and Computer Eng. University of Manitoba, Winnipeg Fuzzy neurocomputations as realizing the paradigm of distributed computations integrate essential learning capabilities of neural networks with the schemes of explicit knowledge representation stemming from the mechanisms of fuzzy sets. This tutorial will address the issues of constructing, testing, and utilizing fuzzy neural networks. The cornerstone of fuzzy neural networks is that their processing elements (neurons) are constructed with the aid of logical operations available in the theory of fuzzy sets. Each neuron, as completing logical operations on the input stimuli, conveys its own clearly visible semantics. The two classes of neurons will be studied. The first category of the neurons embraces aggregation units, while the other one includes referential operations. The studies of the learning algorithms applied to the network will include both the modified gradient-like optimization methods as well as schemes of genetic optimization. Those latter can be stratified as they pertain equally well to the structure of the network, types of the neurons, and the character of the individual connections. Various applications of the networks will be also outlined including the utilization of the networks in designing fuzzy controllers. #12 Fuzzy Data Analysis Professor Dr. Dr.h.c.Hans-Jurgen Zimmermann Professor of Operations Research RWTH Aachen, Aachen, Germany This tutorial begins with definitions of basic terminology. Following this,we discuss methods and techniques for fuzzy data analysis. Tools discussedwill include algorithms and software for fuzzy clustering, decision models that use fuzzy inferencing techniques and approaches based on combinationsof neural networks and fuzzy models. The tutorial will illustrate thesetechniques by discussing applications that include quality control, imagesegmentation, fault diagnosis and petrochemical design. #13 Applications of Neural Networks to Virtual Reality Professor Thomas P. Caudell Dept. of Electrical Engineering and Computer Engineering University of New Mexico, Albuquerque, NM The objective of this tutorial is to first introduce the topic of virtual reality and then to show where neural networks are contributing to this technology. Virtual Reality (VR) is a form of advanced human-computer interface technology that embodies a sense of immersion, interactivity, navigation, and exploration of computer generated virtual worlds. A relative of VR is Augmented Reality (AR), where the user remains immersed in the real world with only small amounts of data being presented. VR typically involves opaque head-mounted displays that show only computer generated graphics. AR uses see-through head-mounted displays that show mostly the real world with small amounts of computer generated graphics overlaid on real world objects. There are many technological challenges left to solve before VR and AR are practical. Neural networks offer solutions to some of these challenges, This tutorial will introduce VR and AR technologies and applications, introduce the classes of neural networks to be discussed, and illustrate the application of neural networks to this field with examples. #14 Hybrid Systems: Neural, Symbolic, and Fuzzy Professor Lawrence O. Hall and Professor Abraham Kandel Computer Science and Engineering Department University of South Florida, Tampa, FL Neural networks and expert systems are complementary approaches to knowledge representation and decision making. This tutorial concentrates on hybrid systems which incorporate neural networks to tune expert system knowledge or will work in concert with an expert system to solve a problem. The basic concepts underlying hybrid systems are clearly outlined. The tutorial examines the question of how to incorporate knowledge into a neural network and whether symbolic information can be extracted from a trained neural network. The tutorial examines the use of fuzzy logic in the neural network expert system mix. This includes hybrid neuro fuzzy systems. Examples will be given that show hybrid systems, properly designed, provide systems more powerful than any of the components used in a stand-alone fashion. #15 Basics of Building Market Timing Systems: Making Money with Neural Networks Casimir C. Klimasauskas NeuralWare, Inc. Pittsburgh, PA This tutorial will cover the basic principles for building successful financial market timing systems. Are the markets predictable? This is the foundation on which this talk is built. Identifying which markets and when they are predictable is the first step toward developing a successful system. In general, the objective of developing a neural network trading system is to make money. Building a system which meets the objectives is the next step and primary focus of this tutorial. The technological measures on which most neural network technology is built often fail to maximize system objectives. Various approaches to addressing these issues will be discussed. This includes what to predict, how to modify standard neural paradigms to enhance ultimate performance, selection of train, test and verification sets, and data pre-processing. An example of a system developed on recent data will be used to illustrate the various issues in the talk. #16 Practical Applications of Neural Network Theory Dr. Robert Hecht-Nielsen HNC, Inc San Diego, CA Neural network theory has advanced significantly over the past five years. In this tutorial, theoretical advances in the areas of universal approximation, learning and convergence, curse of dimensionality exorcism, and error problem-solving will then be described, with an emphasis on how our practical efforts can be guided by this theoretical knowledge. Special emphasis will be given to the topic of which types of problems neural networks are good at solving and how to select the proper neural network architecture for a problem. The tutorial is aimed at those with at least basic familiarity with neural network architectures and applications. No knowledge of theory is presumed and no mathematics beyond elementary calculus andlinear algebra will be used. #17 Computational Studies of Biological Neural Networks: Introduction and Applications to Vision and Sensory-Motor Control Professor Paolo Gaudiano Department of Cognitive and Neural Systems Boston University, Boston, MA This tutorial introduces an interdisciplinary approach to the study of computational neural models for uncovering the functional designs that underlie human and animal learning and performance. Through a combination of psychological, physiological, mathematical and computational notions, the presentation will show how simple networks of neurons can develop useful functional properties in response to a rapidly changing and unpredictable environment. Next, the presentation will illustrate how these fundamental neural network modules can be embedded into more elaborate networks that exhibit complex adaptive behavior,. It will then be shown that the same fundamental modules serve as building blocks for other neural network models that can explain biological function and at the same time provide novel technologies for practical applications. The presentation will focus on two examples: one model of low level vision explains how the vertebrate retina rapidly adjusts its sensitivity over an enormous range of illumination, a useful property for artificial vision systems; the other model describes adaptive sensory-motor control in humans and animals, and has been applied successfully to visually-guided navigation of mobile robots. #18 Learning Algorithms In Neural Networks Professor Jacek M. Zurada Computer Science and Engineering University of Louisville, Louisville, KY Learning is a fundamental property of networks acquiring computational intelligence. Learning can be understood as a change in behavior brought about by experience. In neural networks learning takes the form of approximation of relationships from data, or the form of encoding desired equilibria. This tutorial reviews basic concepts of supervised and unsupervised learning of most important neural network architectures. The tutorial stresses the visualization of learning in both pattern and weight space. It demonstrates links between various methods of network adaptation schemes. The material presented is addressed to persons interested in pursuing independent research/study/NN modeling who are also seeking understanding of concepts underlying computational properties of neural networks. - --- IEEE ICNN '94 Program Committee Chairman Dennis W. Ruck Air Force Institute of Technology druck@afit.af.mil Wright-Patterson AFB, Ohio (NeXTmail Welcome) ------------------------------ End of Neuron Digest [Volume 13 Issue 15] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 9594; Sun, 20 Mar 94 19:40:31 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Sun, 20 Mar 94 19:40:28 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA16949; Sun, 20 Mar 94 19:33:45 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA26846; Sun, 20 Mar 94 17:51:00 EST Posted-Date: Sun, 20 Mar 1994 17:49:59 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #16 (requests + schools + jobs + book) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Sun, 20 Mar 1994 17:49:59 EST Message-Id: <26841.764203799@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Sunday, 20 Mar 19?4 Volume 13 : Issue 16 Today's Topics: e-mail address Neurocomputer information request References for finding global minimum error Grossberg's ARTMAP? CONFERENCES IN NEURAL NETWORK AND ENGINEERING IN MEDICINE AND BIOL Job available Studentship Fellowship available U. Sheffield Postdoctoral opportunities at U Wisconsin, Madison PhD at Sussex WCCI book announcement Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: e-mail address From: bhumpert@bcm.tmc.edu (Benedikt Humpert) Date: Sat, 12 Mar 1994 15:47:42 -0600 [[ Editor's Note: I don't know what/which NN Sigs (Special interest groups) focus on finance. Could one of *you*, dear readers, help out? If so, please send a copy to neuron@psych.upenn.edu so we all may benefit. Of course, if you have a model which *accurately* predicts financial markets, please email me personally... -PM ]] Peter, Could you please send me the e-mail address of the NN Sig which focuses on the application of NNs in the bankinking/finance industry. I believe the coordinator is at the Worldbank. Thank you for your kind help. Yours, Benedikt Humpert (Baylor College, Houston). ------------------------------ Subject: Neurocomputer information request From: cshsfong Date: Mon, 14 Mar 1994 10:29:10 -0800 [[ Editor's Note: I'm not completely sure what a neurocomputer is, in this context. Perhaps someone has a good current list of commercial hardware and simulation products? The whole list would probably appreciate this information. -PM ]] Hello, I am a graduate student, working on a neural network related research. I would like to suggest the institute to purchase a neurocomputer. Do you have any suggestion? It would be nice if the information is provided in detail, as fas as you can. Experience sharing on working with neurocomputer (or a particular model of neurocomputer, positive/negative) is welcome too. Regards - ------------------------------------------- FONG Hak-shun Department of Computing Hong Kong Polytechnic HONG KONG. Tel : (852) 766 7312 Fax : (852) 764 2528 Email : cshsfong@comp.hkp.hk - ------------------------------------------- ------------------------------ Subject: References for finding global minimum error From: gary@cs.st-andrews.ac.uk (Gary Polhill) Date: Thu, 17 Mar 1994 17:30:20 +0000 This may sound like a daft question, but I am looking for any technique that finds, claims to find, or aims to find global minimum classification error of patterns -- the given architecture may not be capable of separating the patterns, so this error might not be zero. No neural gardening techniques, please (i.e. growing and pruning of units) -- strictly fixed feed-forward MLP architectures. Thank you for your help - --------------------------------------------------------------------------- J Gary Polhill email: gary@dcs.st-and.ac.uk Department of Computer Science jgp@st-and.ac.uk University of St. Andrews ST. ANDREWS "The brain is rational -- the mind may not be" Fife. KY16 9SS [Douglas R Hofstadter] SCOTLAND - ----------------------------------------------------------------------- ------------------------------ Subject: Grossberg's ARTMAP? ARTMAP implementations? From: aquavelveeta Date: Sun, 13 Mar 1994 18:01:37 -0800 I am currently working with Grossberg's ARTMAP and am interested in any information available regarding what has been done with it and whether or not it has been written in C++. Are there any articles that you would have in it, or would you have any suggestions as to where I could find more info.? ------------------------------ Subject: CONFERENCES IN NEURAL NETWORK AND ENGINEERING IN MEDICINE AND BIOL From: "R.S.Habib" Date: Mon, 14 Mar 1994 18:45:16 +0000 Dear Sir/Madam, I will be grateful if somebody advice me on the call for papers on a conference in neural network aplications in medicine and biolog y and/or neural network in underwater mediacl application orany simislar related topic. Thank you very much and look forward to hearing from you. Robert H. Istepanian E-mail: R.S.Habib@lut.ac.uk ------------------------------ Subject: Job available From: Melanie Mitchell Date: Sun, 13 Mar 1994 14:16:38 -0700 JOB AVAILABLE: INTERVAL RESEARCH POSTDOCTORAL FELLOWSHIP IN ADAPTIVE COMPUTATION AT THE SANTA FE INSTITUTE The Santa Fe Institute has an opening for a Postdoctoral Fellow in Adaptive Computation beginning in September, 1994. The position is sponsored by Interval Research Corporation. The fellowship will last for one-to-two years. The Institute's research program is devoted to the study of complex systems, especially complex adaptive systems. SFI's Adaptive Computation program is an interdisciplinary effort focusing on computational aspects of the study of complex adaptive systems. Its purpose is to make fundamental progress on issues in computer science that are related to complex adaptive systems, and to export the results to researchers in other fields. These issues include both computational models of complex adaptive systems and theory and application of adaptive algorithms inspired by natural systems. Systems and techniques currently under study at the Santa Fe Institute include genetic algorithms, classifier systems, neural networks, and other adaptive computation techniques; the immune system; biomolecular sequence and structure; the origin of life; artificial life; models of evolution; the physics of information; nonlinear modeling and prediction; the economy; and others. Candidates should have a Ph.D. (or expect to receive one before September, 1994) and should have backgrounds in computer science, mathematics, economics, theoretical physics or chemistry, game theory, cognitive science, theoretical biology, dynamical systems theory, or related fields. A strong background in computational approaches is essential, as is an interest in interdisciplinary work. Evidence of these interests, in the form of previous research experience and publications, is helpful. Applicants should submit a curriculum vitae, list of publications, and statement of research interests, and arrange for three letters of recommendation to be sent. Incomplete applications will not be processed. All application materials must be received by April 15, 1994. Decisions will be made in early May. Send applications to: Interval Research Postdoctoral Committee, Santa Fe Institute, 1660 Old Pecos Trail, Suite A, Santa Fe, New Mexico 87501. Applications or inquiries may also be sent by electronic mail to: postdoc@santafe.edu. SFI is an equal opportunity employer. ------------------------------ Subject: Studentship From: Kim Plunkett Date: Tue, 15 Mar 1994 12:38:08 +0000 Connectionism and Language Acquisition SERC Postgraduate Studentship Department of Experimental Psychology University of Oxford The Science and Engineering Research Council has allocated a postgraduate studentship within the area of "Connectionism and Language Acquisition" to the Department of Experimental Psychology, Oxford University, starting in October 1994. Individuals interested in applying for this studentship should have or expect to obtain a good undergraduate degree in Psychology, Linguistics or Computer Science. The success- ful applicant will be expected to engage in both connection- ist modelling and experimental work within the area of language acquisition. The studentship is expected to lead to the award of D.Phil at the University of Oxford. Application forms can be obtained from: Mrs. B. Hammond Department of Experimental Psychology University of Oxford South Parks Road Oxford OX1 3UD UK Tel: 0865-271379 Applications should be marked "SERC IT Application". Further information concerning the studentship and research facilities in the Department can be obtained from Kim Plunkett Department of Experimental Psychology University of Oxford South Parks Road Oxford OX1 3UD UK Tel: 0865-271398 email: plunkett@psy.ox.ac.uk Please note that SERC studentship awards can only be held by UK or EEC nationals. ------------------------------ Subject: Fellowship available U. Sheffield From: Yorick Wilks Date: Wed, 16 Mar 1994 16:41:27 +0000 THE UNIVERSITY OF SHEFFIELD The Department of Computer Science wishes to recruit a Lecturer Grade A to a fixed 5 year appointment arising from the award of an SERC Advanced Research Fellowship to Dr.P Mc Kevitt, who lectures in natural language processing. The lectureship is to replace his teaching and will be tenable from 1/10/94 and applications are invited from anyone with research interests in the following areas: Cognitive Systems Computational Models of Hearing Speech Technology Natural Language Processing Computer Graphics Intelligent Tutoring Systems Computer Argumentation Connectionist Language Processing Formal Methods and Software Engineering Theory of Computer Science Software and systems engineering Communication Networks Neural Networks Parallel Systems Safety Critical Systems Parallel Databases CASE Tools for Parallel Systems Further details are available from the Department of Computer Science: jean@dcs.sheffield.ac.uk. Closing date for applications 1st April, 1994 to the Personnel Department, Western Bank, University of Sheffield, Sheffield, S10 2TN. ------------------------------ Subject: Postdoctoral opportunities at U Wisconsin, Madison From: Bill Lytton Date: Thu, 17 Mar 1994 14:45:03 -0600 Postdoctoral fellowships available in Computational Neuroscience starting immediately or in the fall. Realistic simulations of single neurons and neuronal networks are being performed to better understand neural function with particular emphasis on epileptogenesis and seizure spread. Close collaborations are available on-site with physiologists using electrophysiology and optical methods to assess activity in thalamus, piriform cortex and hippocampus in vivo and in vitro. Opportunities for involvement in ongoing projects or development of new research directions are available. Computational laboratory uses networked UNIX workstations. Parallel supercomputing facilities are available as well as collaboration on VLSI implementations. Send or email CV and statement of research experience/interests to billl@head.neurology.wisc.edu. Bill Lytton Dept. of Neurology University of Wisconsin 1300 University Ave., MSC 103 Madison, WI 53703 (EOAAE) Tiring of the bicoastal lifestyle? Try the midcoast next. ------------------------------ Subject: PhD at Sussex From: Dave Cliff Date: Fri, 18 Mar 1994 14:36:11 +0000 DPhil Studentship The Sussex Centre for Neuroscience, School of Biological Sciences and The School of Cognitive and Computing Sciences University of Sussex Applications are invited for a three-year SERC DPhil (PhD) studentship to commence in October 1994. The project will use computational modelling techniques to study small neural networks involved in pattern generation and motor coordination in invertebrates. The successful candidate will be based in the School of Cognitive and Computing Sciences, but will be required to work closely with a group of researchers in the School of Biological Sciences, lead by Prof. P. Benjamin. Candidates should possess or expect to gain at least a 2i or equivalent degree in a numerate discipline (e.g. Computer Science, Electronic Engineering, etc), although candidates from other disciplines may also be considered. For further information, contact Dr Dave Cliff, School of Coginitive and Computing Sciences, University of Sussex, Brighton BN1 9QH, UK. Tel: 0273 606755 ext 3205; Fax 0273 671320; e-mail davec@cogs.susx.ac.uk ------------------------------ Subject: WCCI book announcement From: Robert Marks Date: Fri, 18 Mar 1994 18:10:25 -0800 Please consider placing this in Neuron Digest. Robert J. Marks II, Technical Director 1994 WCCI --------------------------------------------- From IEEE Press and the IEEE World Congress on Computational Intelligence (WCCI) comes an exciting new book. ****************************************** COMPUTATIONAL INTELLIGENCE: IMITATING LIFE ****************************************** edited by Jacek Zurada, University of Loisville Robert J. Marks II, University of Washington Charles J. Robinson, University of Pittsburgh ******************************************************** This book will be given to all full participants at WCCI. All papers will be orally presented at WCCI in a special Plenary Symposium. ********** ********** CONTENTS ********** PREFACE INTRODUCTION Jacek Zurada, University of Loisville Robert J. Marks II, University of Washington Charles J. Robinson, University of Pittsburgh WHAT IS COMPUTATIONAL INTELLIGENCE? James C. Bezdek, University of West Florida SECTION I: COMPUTATIONAL LEARING THEORY 1. Unsupervised Learning for Feature Extraction Erkki Oja, Helsinki University of Technology Joulo Lampinen, Lappeenranta University of Technology 2. Fuzzy Systems that Can Learn Hamid Berenji, NASA Ames Research Center 3. Learning as Adaptive Interpolation in Neural Fuzzy Systems Pratap Khedkar, General Electric 4. Context Vectors Robert Hecht-Nielsen, HNC Corporation 5. Neural Representations of Space in Rats and Robots Dave Touretzky, Carnegie Mellon University SECTION II: COMPUTATIONAL LEARING THEORY 1. Similarity-based Approximate Reasoning Didier Dubois and Henri Prade, Institut de Recherche en Informatique de Toulouse 2. Computational Intelligence in High Level Computer Vision Determining Spatial Relationships James Keller, University of Missouri-Columbia 3. Fuzzy Modelling: Methodology, Algorithms, and Practice Witold Pedrycz, University of Manitoba 4. Reasoning Under Uncertainty and Learning in Knowledge Based Systems: Imitating Human Problem Solving Behavior Ramon Lopez de Mantaras Artificial Research Institute, Spain SECTION III: EVOLUTIONARY COMPUTATION 1. On the Evolution of Evolutionary Computation Hans-Paul Schwefel University of Dortmund, Germany 2. Genetic Algorithms: a 25 Year Perspective Kenneth DeJong, George Mason University 3. Evolutionary Programming in Perspective Lawrence J. Fogel Natural Selections Inc., CA 4. Evolution Strategy Ingo Rechenberg Technische Universit\"{a}t Berlin 5. Beyond AI: The Double Helix of Artificial Intelligence and Artificial life Kiroaki Kitano, Sony Computer Science Laboratory 6. How to Improve GA-performance for Combinatorial Optimization Problems by Analyzing their Fitness Landscape Bernard Manderick and Piet Spiessens Free University of Brussels 7. Theory and Applications of the Breeder Genetic Algorithm Heinz M\"{u}ehlenbein and Dirk Schlierkamp-Voosen GMB Schloss Birlinghoven SECTION IV: BIOLOGICAL AND COMPUTATIONAL PATTERN RECOGNITION 1. Neural Networks and Pattern Recognition Anil K. JAin and Jianchang Mao Michigan State University 2. Neurobiological Computational Systems Charles H. Anderson and David C. Van Essen Washington University 3. Visual Preprocessing: First and Second Order Processes in the Perception of Motion and Texture George Sperling, J. A. Solomon and Zhong-Lin Lu University of California, Irvine Charles Chubb, Rutgers University 4. Visual Learning of Objects: Neural Models of Shape, Color, Motion and Space Allen Waxman, Michael Seibert and Alan N. Gove MIT Lincoln Laboratory 5. Computational Color Vision Model by Neural Networks Shiro Usui and S. Nakauchi Toyohashi University of Technology 6. Status of Auditory Modeling Research and its Relationship toAutomatic Speech Recognition Karen Payton, University of Massachusetts 7. Biology-Inspired Pulse Processing Neural Nets with Adaptive Weights and Delays - Sources from Neuroscience versus Applications in Industry and Medicine Rolf Eckmiller, University of Bonn SECTION V: INTELLIGENT CONTROL 1. Learning on Neural-Controllers in Intelligent Control Systems Sigeru Omatu, University of Tokushima 2. Integration of Fuzzy Control Within Hierarchically Structured Control Systems Reza Langari Texas A&M University 3. Qualitative Modeling based on Numberical Data and Knowledge Data, and its Application to Control Michio Sugeno and Takahiro Yashukawa Tokyo Institute of Technology 4. Fuzzy Logic Controllers: An Industrial Reality Piero P. Bonissone, General Electric 5. Learning Control Aspects in Terms of Neuro-control Tetsuro Yabuta, Takayuka and Tetsuya Manabe NTT Telecommunication Field Systems R&D Center 6. Self-Generation of Neural-Net Controller by Training in Natural Environment Teruo Fujii and Tamaki Ura, University of Tokyo SECTION VI: HYBRID COMPUTATIONAL INTELLIGENCE 1. Fuzzy-Neuro-GA Based Intelligent Robotics Toshio Fukuda, Nagoya University Takanori Shibata, MITI 2. Hybrid Approaches for Fuzzy Data Analysis and Configuration Using Genetic Algorithms and Evolutionary Methods H.J. Zimmerman, Technical University of Aachen 3. Combinations of Genetic Algorithms with NNs or Fuzzy Systems David Schaffer, Philips Laboratories 4. A Neo Fuzzy Neuron and Its Applications to System Identification and Expectation of Chaotic Behavior Takeshi Yamakawa, Kyushu Institute of Technology SECTION VII: APPLICATIONS 1. Integrating Neural Networks for Real World Applications Fran\>{c}oise Fogelman Souli\`{e} 2. Neural Networks for Fighting Crime Steven K. Rogers, Matthew Kabrisky, Dennis W. Ruck and Mark E. Oxley, Air Force Institute of Technology 3. Genetic Algorithms for Optimization: Three Case Studies Lawrence Davis, Tica Technologies 4. Neural Computing Technology Transfer - A UK Government Programme Robert A. Wiggins, Department of Trade and Industry, London 5. New Paradigms in Technology Transfer Joseph R. Brown, Microelectronics and Computer Technology Corporation >From the Preface: To our knowledge, the publication of this book marks the first time the components of Computational Intelligence have been fused in a single volume. This book has its origins at the 1994 IEEE World Congress on Computational Intelligence (WCCI) to be held this in summer at the Walt Disney Dolphin Hotel in Orlando. The WCCI, for the first time, will bring together in time and space, major conferences on neural networks, fuzzy systems and evolutionary programming. A special plenary symposium, addressing emerging issues in computational intelligence, was conceived as glue to provide continuity among the three conferences. The contributions to the symposium were thought to be so outstanding, that an archival volume of the contributions was felt appropriate. The result is this book. Anticipated Publication Date: July 1994 THIS BOOK WILL BE GIVEN TO ALL FULL REGISTRANTS AT WCCI. Additional copies will be on sale at the conference. Post conference copies can be purchased from IEEE Press !!!!! !!!!! !!!!! !!!!! !!!!! !!!!! IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE Orlando, FLA June 26-July 2, 1993 IEEE International Conference on Neural Networks Third IEEE International Conference on Fuzzy Systems The IEEE Conference on Evolutionary Computation Special Plenary Symposium "Computational Intelligence: Imitating Life" -> Over 1600 Refereed and Invited Presentations <- -> 43 Cutting Edge Plenary Presentations <- - -> Eighteen Cutting Edge Tutorials on Newest Innovations <- -> Current Technology Exhibits <- *** * ** ** *** ** **** **** **** * * ** ***************** * ***** * * ** ************ * * X ************** * **** ****** ** ** ****** ***** ******* * *** ** *** * ** * *** *** * * ***** * * * * WCCI Sponsored by the IEEE Neural Networks Council Exhibits organized by SPIE For further information about WCCI, contact WCCI'94 Conference Office Meeting Management 2603 Main Street, Suite 690 Irvine, CA 92714 Tel. (714) 752-8205 Fax (714) 752-7444 e-mail: 74710.2266@compuserve.com ------------------------------ End of Neuron Digest [Volume 13 Issue 16] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 6117; Tue, 22 Mar 94 12:06:02 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Tue, 22 Mar 94 12:05:47 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA02928; Tue, 22 Mar 94 11:42:53 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA08308; Tue, 22 Mar 94 10:11:06 EST Posted-Date: Tue, 22 Mar 1994 10:09:50 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #17 (School + queries + replies) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Tue, 22 Mar 1994 10:09:50 EST Message-Id: <8220.764348990@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Tuesday, 22 Mar 19?4 Volume 13 : Issue 17 Today's Topics: Cognitive Science MSc Programme at Birmingham NN software? neurocomputers finance group Financial Apps SIG Re: Finance SIG Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: Cognitive Science MSc Programme at Birmingham From: cogsci@birmingham.ac.uk Date: Sun, 20 Mar 1994 21:23:55 +0000 ____________________________________________________________________________ M S c i n C o g n i t i v e S c i e n c e a t t h e U n i v e r s i t y o f B i r m i n g h a m ____________________________________________________________________________ The University of Birmingham runs a programme of inter-disciplinary teaching and research in Cognitive Science notable for its breadth and cross- disciplinary interaction. Staff have a wide range of relevant research interests, and Cognitive Science is supported by extensive computing facilities comprising Unix workstations and X-terminals. The MSc in Cognitive Science is a one-year modular programme consisting of taught courses followed by a substantial project. The taught courses (including options) on the MSc comprise: Artificial Intelligence Programming and Logic, Overview of Cognitive Science, Knowledge Representation Inference and Expert Systems, General Linguistics, Human Information Processing, Structures for Data and Knowledge, Philosophy of Science for Cognitive Science, Philosophy of Mind for Cognitive Science, C++ Programming, Human-Computer Interaction, Biological and Computational Architectures, Current Issues in Cognitive Science, Artificial and Natural Perceptual Systems, Speech and Natural Language Processing, and Parallel Distributed Processing. Projects can be pursued in a wide range of topics. Admissions requirements for the MSc in Cognitive Science are flexible, but normally include a good degree in a relevant area such as psychology, artificial intelligence, computer science, linguistics or philosophy. Addresses for further information are given below. The same addresses can be used for enquiries concerning the PhD programme in Cognitive Science and the Cognitive Science Seminar Series at Birmingham. Phone: (+4421) 414 3683 Fax: (+4421) 414 4897 E-mail: cogsci@bham.ac.uk WWW URL:http://www.cs.bham.ac.uk/ Gopher: gopher.cs.bham.ac.uk Mail: Cognitive Science Admissions, School of Psychology, University of Birmingham, Birmingham, B15 2TT, U.K. Donald Peterson. ------------------------------ Subject: NN software? From: Wenjia WANG Date: 21 Mar 1994 15:59:41 +0000 I am currently doing a research project which is about the neural network application on production scheduling. The neural network software package I used now is unable to meet the requirement. Therefore I urgently request the following information. 1. A commercial package which could be used to simulate the user's defined neural networks,such as Hopfield Models, Backpropagation and others. Any information about the name of software, the specifications, the platform and the price etc. would be very helpful for me. Or, 2. The program written in C++ which can be employed to solve the TSP and scheduling problem with Hopfield network. 3. Other related information. Thank you very much for your help. Reply Email: Mr. W.Wang ------------------------------ Subject: neurocomputers From: "S. Rae Mackay" Date: Mon, 21 Mar 1994 08:02:01 -0800 wrt this request that i read this morning in nd v13#16: Subject: Neurocomputer information request From: cshsfong Date: Mon, 14 Mar 1994 10:29:10 -0800 [[ Editor's Note: I'm not completely sure what a neurocomputer is, in this context. Perhaps someone has a good current list of commercial hardware and simulation products? The whole list would probably appreciate this information. -PM ]] Hello, I am a graduate student, working on a neural network related research. I would like to suggest the institute to purchase a neurocomputer. Do you have any suggestion? It would be nice if the information is provided in detail, as fas as you can. Experience sharing on working with neurocomputer (or a particular model of neurocomputer, positive/negative) is welcome too. i am forwarding along some info i received from another researcher who is looking for processors designed to handle neural networks: >From jscott@ERC.MsState.Edu Mon Mar 21 07:54:52 1994 Date: Tue, 1 Mar 94 16:58:10 CST From: Scott Calhoun To: intcon@phoenix.ee.unsw.EDU.AU Subject: Summary of NN Chips Not much but here it is. - --jscott - -------------------------------------------------------------------------- University of New Hampshire Electrical and Computer Engieering We make a SIMD parallel computer called the MM32k which fits in a PC-AT. It has 32768 one bit processors and can achieve gigaop performance on suitable problems. We have successfully applied the machine to several problems, including neural networks. The machine has a C++ programming environment built on top of the Microsoft (or Borland) C++ compiler. The board sells for around $5000. The upcoming NIPS-93 volume has a paper covering the machine. Contact: Mike Glover (603)868-2270 curtech!mag@news.unh.edu - --------------------------------------------------------------------------- American Neurologic Lake Mary, Florida Various AI chips including NN and Fuzzy. - --------------------------------------------------------------------------- Intel Analog ETANN Radial Basis Function N1000 - --------------------------------------------------------------------------- hope the above is helpful. - --rae ------------------------------ Subject: finance group From: Robert Marks Date: Sun, 20 Mar 1994 20:48:07 -0800 The IEEE Neural NEtworks Council has a Technical Interest Group in Computational Finance. The Chair is Scott Mathhews . I will cc him on this. ------------------------------ Subject: Financial Apps SIG From: cc439@cleveland.Freenet.Edu (Philip M. Kalina) Date: Mon, 21 Mar 1994 00:30:59 -0500 In an earlier message, bhumpert@bcm.tmc.edu (Benedikt Humpert) says: >Could you please send me the e-mail address of the NN Sig which >focuses on the application of NNs in the banking/finance industry. >I believe the coordinator is at the Worldbank. Benedikt, I think the following describes the SIG you're referring to. I haven't heard anything from them since last summer. Either I fell off the distribution somehow, or activity has dropped off dramatically. I have some personal experience using backprop to train models to predict financial time series. If you have some general questions, I could try to give you reasonable answers. Phil Kalina - -------- Original Message Follows -------- Date: 08-Jul-93 10:32 EDT From: INTERNET:atfboard@invnext.worldbank.org Subj: AT-Finance FAQ (07/08/93) Sender: atfboard@invnext.worldbank.org Received: from nimbus.worldbank.org by iha.compuserve.com (5.67/5.930129sam) id AA07338; Thu, 8 Jul 93 10:30:53 -0400 Received: from invnext (invnext.worldbank.org) by nimbus.worldbank.org (4.1/SMI-4.1) id AA13219; Thu, 8 Jul 93 10:18:46 EDT Received: by invnext (NX5.67c/SMI-4.1) id AA07611; Thu, 8 Jul 93 10:16:08 -0400 Date: Thu, 8 Jul 93 10:16:08 -0400 From: atfboard@invnext.worldbank.org (AT-Finance-Board) Message-Id: <9307081416.AA07611@invnext> Received: by NeXT.Mailer (1.87.1) Received: by NeXT Mailer (1.87.1) To: innssig@invnext.nimbus.worldbank.org Subject: AT-Finance FAQ (07/08/93) Name: AT-Finance FAQ Release Date: July 08 1993 (FAQ means "frequently asked questions") - --------------------------------------------------------------------- Contributors to the information in this document are asked to send all questions or information to at-finance-board@invnext.worldbank.org. Try to follow the formatting conventions of each section when submitting information intended for a section. The monthly posting of the FAQ takes place on the first of every month. - --------------------------------------------------------------------- This is a monthly posting to the Usenet newsgroups comp.ai.neural-nets, comp.ai.fuzzy, comp.ai.genetics, sci.fractals, sci.econ, and news.answers (This document should be available in news.answers at all times.) Its purpose is to provide basic information for individuals who are interested in applying advanced technologies to economic and financial areas. This information is not exhaustive! >>> PLEASE, SEARCH THIS POSTING FIRST IF YOU HAVE A QUESTION <<< and >>> DON'T POST ANSWERS TO FAQs: POINT THE ASKER TO THIS POSTING <<< Disclaimer: This posting is provided 'as is'. No warranty whatsoever is expressed or implied, especially, no warranty that the information contained herein is correct or useful in any way, although both is intended. (This document is modeled after L. Prechelt's neural-net FAQ. Thanks Lutz!) ============================ Contents ============================ Q1.) What is AT-Finance all about? Q2.) What constitutes an advanced technology? Q3.) How can I contact AT-Finance? How can I contribute? Q4.) Where can I find economic and financial data? Q5.) Where can I find information of econ/fin applications? Q6.) Which Conferences? Q7.) Which Journals and Magazines? Q8.) Which books are good for financial and economic AT practitioners? Q9.) Is there an electronic repository of AT-Finance related documents? ================================================================== === Q1.) What is AT-Finance all about? The Advanced Technology in Finance (AT-Finance) e-mail service is an initial service provided by the financial and economic applications special interest group of the international neural network society (INNS). This e-mail group is primarily intended to provide a forum for sharing information on advanced technology in financial and economic applications. === Q2.) What constitutes an advanced technology (AT)? The term advanced technology, as used here, refers to any technology or modern theory which has been applied to financial or economic data. Thus far, the technologies or theories which have been encompassed by the term are: Neural networks (NN), genetic algorithms (GA), fuzzy logic (FL), statistical (nonlinear, time-series, optimization, etc), complexity theory, artificial life (a-life), and nonlinear and chaos theory. Some of these areas overlap or are very young so it is up to the discretion of the poster to classify any possible information. === Q3.) How can I contact AT-Finance? How can I contribute? All AT-Finance documents include a signature like that below. Three addresses are provided. Mail addressed to: at-finance-board@invnext.worldbank.org submits questions or comments to the at-finance mail digest, and at-finance-request@invnext.worldbank.org requests un/subscribe (within 24 hours), or submits information, and at-finance@invnext.worldbank.org reports administrative/account problems To contribute to this FAQ, send information or comments to at-finance-board@invnext.worldbank.org. To contribute postscript or tex documents, mail to at-finance-board@invnext.worldbank.org OR to at-finance-request@invnext.worldbank.org. === Q4.) Where can I find economic and financial data? There are many commercial vendors of market and economic information. Some provide time-series in real-time or in all-purpose formats but cost too much, while others are limited to particular retrieval programs or are of lower quality but cost in the order of <$100. Some vendors are: Real-Time - --------- Bloomberg: 1-212-318-2000 Kenny: 1-212-770-4500 Knight-Ridder: 1-800-433-8430 Reuters: 1-212-603-3300 S&P ComStock: 1-800-431-5019 TeleKurs: 1-212-487-2700 TeleRate: 1-201-309-3000 End of Day or Delayed - --------------------- Clarinet: Usenet news group: clarinews@clarinet.com Midday and end of day data in clari.biz.market Dow Jones News/Retreival: 1-609-452-1511 Market data and news via modem. Integrated Financial Solutions: 1-800-729-5037 15 minutes delayed market data. Knight-Ridder: 1-800-621-5271 End of day data. Compuserve, America Online, etc. Databases - --------- FP Datagroup: 1-416-350-6440 Canadian market and company data. Moody's: 1-800-955-8080 US and International company data. PEMD Group: 1-707-894-3668 Country debt tables, yearly fundamental data (US). Stock Data Corp:1-410-280-5533 NYSE, AMEX and NASDAQ issues. World Bank Debt Tables: 1-202-473-2941 Country debt tables. === Q5.) Where can I find basic information of econ/fin applications? For financial applications: Good books to begin with are the "WSJ guide to understanding Money and Markets" by Richard Wurman and A. Sigel (or any other basic Investments or Technical Analysis Text) for market dynamics. For applications, the collection of reprints in Neural Networks in Finance and Investing edited by R. Trippi and E. Turban, or Neural Network PC Tools (Chapter 12) by Eberhart and Dobbins, or Neural Networks in C++ (Chapter 4) by Adam Blum. === Q6.) Which Conferences? International Joint Conferences on Neural Networks (IJCNN) have had panel sessions on financial applications over the last two conferences as well as an increasing number of financial application papers in the application tracks. Contact: IEEE or INNS conference services. Proceedings: Available through IEEE IBC Technical Services has also sponsored confrences over the past three years entitled "Rocket Science Made Simple:......" or "Expert Systems and Neural Networks in Trading" Contact: IBC at 011-44-71-637-4383 or IBC House, Canada Road, Byfleet, Surrey KT14 7JL, UK. or IBC USA at 1-508-650-4700 or 8 Pleasant Street, Bldg D, South Natick, MA 01760, USA. Proceedings: Available through IBC. IAKE co-sponsors International Conferences on Artificial Intelligence Applications on Wall Street every year. Contact: IAKE-International Association of Knowledge Engineers at 1-301-948-5390 Proceedings: Available through IAKE. === Q7.) Which Journals and Magazines? IEEE Transactions on Neural Networks, IEEE Transactions on Fuzzy Systems, Technical Analysis of Stocks and Commodities, Wall Street and Technology, RISK, Journal of Portfolio Management, and Financial Analyst Journal. === Q8.) Which books are good for financial and economic AT practitioners? Burns T., "The Interpretation and use of Economic Predictions", Proc. Royal Soc., Series A, pp 103- 125, (1986). De Grauwe Paul, Dewachter H., and Embrechts M., "Exchange rate theory: chaotic models of foreign exchange markets ". Blackwell, (1993). Holden K., "Macroeconomic forecasting" in "Current issues in macroeconomics", Greenaway D., (ed), St. Martin's Press, (1989). Holden K. and D. Peel, "Economic forecasting: an introduction". Cambridge University Press, (1990). Peters E. E., "Chaos and Order in the Capital Markets", Wiley, USA, (1991). Trippi R. R., and Turban E., "Neural Networks in Finance and Investing", Probus, (1992). === Q9.) Is there an electronic repository of AT-Finance related documents? We are currently testing the ftp service internally and should have it running smoothly within 6-8 weeks. We are currently soliciting postscript or tex documents which should be compressed, uuencoded, and mailed to at-finance-request@invnext.worldbank.org. These documents should have a strong relation to the application of AT to finance and economics! - ------------------------------------------------------------------- End Note: All information herein was compiled by the AT-Finance group. Errors or defunct information should be reported to at-finance-request@invnext.worldbank.org. We do not accept responsibility for any errors or misinformation. Copyright 1993 is preserved and credit/reference must be given to this document. Not for resale. Free distribution over the Internet. - ------------------------------------------------------------------- ------------------------------ Subject: Re: Finance SIG From: Morgan Downey <70712.3265@CompuServe.COM> Date: 21 Mar 1994 16:43:18 -0500 Guido Deboeck, chairman of the INNS Financial and Econimic Applications SIG, has established a bulletin board on these applications of advanced technologies. (He is also chairing the Financial and Economic Applications special session at WCNN 1994. For more info about WCNN 1994 e-mail INNS at 70712.3265@compuserve.com) To use the finance board access the following accounts: 1. AT-Finance Board: This account can be used to post message that will be shared by everyone. Send messages to AT-Finance-Board@invnext.worldbank.org 2. AT-Finance-Request: This account is to be used ONLY for requesting to get on or off the mailing list of the board. Send requests to AT-Finance-Request@invnext.worldbank.org ------------------------------ End of Neuron Digest [Volume 13 Issue 17] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 2414; Tue, 29 Mar 94 14:46:43 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Tue, 29 Mar 94 14:46:37 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA16476; Tue, 29 Mar 94 14:24:45 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA12736; Tue, 29 Mar 94 12:09:31 EST Posted-Date: Tue, 29 Mar 1994 12:08:23 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #18 (conferences, CFPs, etc.) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Tue, 29 Mar 1994 12:08:23 EST Message-Id: <12697.764960903@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Tuesday, 29 Mar 19?4 Volume 13 : Issue 18 Today's Topics: April 12 "Motion, Control, and Geometry" Symposium Final call - April 1 CfP: Workshop "Logic and Reasoning with Neural Networks" Hebb Symposium ISCIS IX CALL FOR PAPERS Call for Articles: Automatic Target Recognition issue, Neural Networks Final CFP - NN and Astronomy Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: April 12 "Motion, Control, and Geometry" Symposium From: "John Tucker" Date: Wed, 23 Mar 1994 11:36:47 -0500 *** PLEASE POST / CIRCULATE *** SYMPOSIUM ON "MOTION, CONTROL, AND GEOMETRY" April 12, 1994. 1994 Science and Technology Symposium "Motion, Control, and Geometry," Washington, DC PROGRAM: The 1994 Science and Technology Symposium focuses on control theory as a fundamental aspect of motion generation in many emerging areas. Those areas include microsurgery (for example, involving microrobots or "snakes" capable of locomotion in confined spaces such as an intestinal tract), spacecraft positioning, biological and robotic movement, motor miniaturization, and motion engineering (for instance, via coupled-oscillator pattern generation). Traditional control theory methods have been supplemented by the growing body of techniques associated with dynamical systems and geometric mechanics. This symposium addresses the exciting interdisciplinary synergy that is developing on the basis of theoretical insight and technological inventiveness. Opening Remarks: Shmuel Winograd (IBM Corporation). Moderator: Avner Friedman (Institute for Mathematics and Its Applications). Speakers: Jerrold E. Marsden (University of California at Berkeley), Roger Brockett (Harvard University), Richard Murray (California Institute of Technology), and P. S. Krishnaprasad (University of Maryland). The symposium takes place from 2 pm to 5:15 pm in the Lecture Room at the National Academy of Sciences, 2101 Constitution Avenue, N.W., Washington, DC. There is no regi stration fee but people wishing to attend are requested to register (via bms@nas.edu, FAX: 202-334-1597, Tel: 202-334-2421) in advance because of limited seating. ------------------------------ Subject: FInal call - April 1 From: Hilario Melanie Date: Wed, 23 Mar 1994 19:23:07 +0100 - ----------------------REMINDER : DEADLINE IS APRIL 1 ---------------------- Final Call for Papers COMBINING SYMBOLIC AND CONNECTIONIST PROCESSING Workshop held in conjunction with ECAI-94 August 9, 1994 - Amsterdam, The Netherlands - ----------------------REMINDER : DEADLINE IS APRIL 1 ---------------------- Until a few years ago, the history of AI has been marked by two parallel, often antagonistic streams of development -- classical or symbolic AI and connectionist processing. A recent research trend, premised on the complementarity of these two paradigms, strives to build hybrid systems which combine the advantages of both to overcome the limitations of each. For instance, attempts have been made to accomplish complex tasks by blending neural networks with rule-based or case-based reasoning. This workshop will be the first Europe-wide effort to bring together researchers active in the area in view of laying the groundwork for a theory and methodology of symbolic/connectionist integration (SCI). The workshop will focus on the following topics: o theoretical (cognitive and computational) foundations of SCI o techniques and mechanisms for combining symbolic and neural processing methods (e.g. ways of improving and going beyond state-of-the-art rule compilation and extraction techniques) o outstanding problems encountered and issues involved in SCI (e.g. Which symbolic or connectionist representation schemes are best adapted to SCI? The vector space used in neural nets and the symbolic space have fundamental mathematical differences; how will these differences impact SCI? Do we have the conceptual tools needed to cope with this representation problem?) o profiles of application domains in which SCI has been (or can be) shown to perform better than traditional approaches o description, analysis and comparison of implemented symbolic/connectionist systems SUBMISSION REQUIREMENTS Prospective participants should submit an extended abstract to the contact person below, either via email in postscript format or via regular mail, in which case 3 copies are required. Each submission should include a separate information page containing the title of the paper, author names and affiliations, and the complete address (including telephone, fax and email) of the first author. The paper itself should not exceed 12 pages. Submission deadline is April 1, 1994. Each paper will be reviewed by at least two members of the Program Committee. Notification of acceptance or rejection will be sent to first authors by May 1, 1994. Camera-ready copies of accepted papers are due on June 1st and will be reproduced for distribution at the workshop. Those who wish to participate without presenting a paper should send a request describing their research interests and/or previous work in the field of SCI. Since attendance will be limited to ensure effective interaction, these requests will be considered after screening of submitted papers. All workshop participants are required to register for the main conference. PROGRAM COMMITTEE Bernard Amy (LIFIA-IMAG, Grenoble, France) Patrick Gallinari (LAFORIA, University of Paris 6, France) Franz Kurfess (Dept. Neural Information Processing, University of Ulm, Germany) Christian Pellegrini (CUI, University of Geneva, Switzerland) Noel Sharkey (DCS, University of Sheffield, UK) Alessandro Sperduti (CSD, University of Pisa, Italy) IMPORTANT DATES Submission deadline April 1, 1994 Notification of acceptance/rejection May 1, 1994 Final papers due June 1, 1994 Date of the workshop August 9, 1994 CONTACT PERSON Melanie Hilario CUI - University of Geneva 24 rue General Dufour CH-1211 Geneva 4 Voice: +41 22/705 7791 Fax: +41 22/320 2927 Email: hilario@cui.unige.ch ------------------------------ Subject: CfP: Workshop "Logic and Reasoning with Neural Networks" From: Franz Kurfess Organization: Dipartimento di Informatica - Universita' di Pisa - Italy Date: Wed, 23 Mar 1994 19:26:02 +0100 FINAL CALL FOR PAPERS "Logic and Reasoning with Neural Networks" Workshop at the International Conference on Logic Programming ICLP'94 Santa Margherita Ligure, Italy June 17 or 18, 1994 Description of the Workshop =========================== The goal of the workshop is to initiate discussions and foster interaction between researchers interested in the use of neural networks and connectionist models for various aspects of logic and reasoning. There are a number of domains where the combination of neural networks and logic opens up interesting perspectives: * Methods for Reasoning - - cognitively plausible models of reasoning - - reasoning with vague knowledge - - neural inference mechanisms - - probabilistic reasoning with neural networks * Knowledge Representation Aspects - - representation of non-symbolic information - - knowledge acquisition from raw data (rule extraction) with neural networks - - representation of vague knowledge - - similarity-based access to knowledge - - context-dependent retrieval of facts * Integration of Symbolic and Neural Components - - combining sub-symbolic and symbolic information - - pattern recognition - - sensor fusion * Implementation Techniques - - connectionist implementations of symbolic inference mechanisms - - neural networks as massively parallel implementation technique - - neural networks for learning of search heuristics There are at least three major aspects where a discussion of neural networks / connectionist models can be beneficial to the logic programming community at this time: * development of reasoning techniques which are closer to the way humans reason in everyday situation * dealing with vague knowledge, i.e. imprecise, uncertain, incomplete, inconsistent information, possibly from different sources and in various formats * efficiency improvements for symbolic inference mechanisms, e.g. through adaptive learning from previously solved problems, or content-oriented access to rules and facts Submission of Papers ==================== Prospective contributors are invited to submit papers or extended abstracts to the organizers by April 1, 1994. They will be notified about acceptance or rejection by May 1. The final version of the papers is due June 1. We are planning to make the full papers accessible to the workshop participants in an ftp archive, and hand out only copies of the abstracts. If possible, please use a text processing program that allows you to produce PostScript output; otherwise it might be difficult to print out copies on other systems than the one you used. ******** Papers should be sent to Franz Kurfess *********** Preliminary Agenda ================== There will be one or two talks of approximately 30 min. where the essential background on the use of neural networks for logic and reasoning will be presented. The main purpose for this is to offer a brief introduction to those attendants with little knowledge of neural networks, and to provide a common framework of reference for the workshop. Care will be taken that these presentations concentrate on fundamental aspects, providing an overview of the field rather than a detailed technical review of one particular system or approach. The rest of the time slots will be used for presentations of submitted papers, i.e. approximately two in each section, with enough time for discussion. The final time schedule will be distributed after May 1. The workshop will be concluded by a final discussion and a wrap-up of important aspects. Important Dates =============== Submission deadline April 1, 1994 Notification of acceptance/rejection May 1, 1994 Final version of papers due June 1, 1994 Date of the workshop June 17 or 18, 1994 Registration ============ According to the standard policy of LP post-coference workshops, the workshops are integrating part of the conference. This means that participants of the workshop are expected to register for the conference. Workshop Organizers =================== Franz Kurfess Dept. of Neural Information Processing University of Ulm D-89069 Ulm, Germany Voice : +49/731 502-41+4953 Fax : +49/731 502-4156 E-mail: kurfess@neuro.informatik.uni-ulm.de Alessandro Sperduti CSD - University of Pisa Corso Italia 40 56100 Pisa, Italy Voice : +39/50 887 248 Fax : +39/50 887 226 E-mail: perso@di.unipi.it ------------------------------ Subject: Hebb Symposium From: Mostefa Golea Date: Wed, 23 Mar 1994 15:29:55 -0500 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ******* Announcement ******* THE FIELDS INSTITUTE FOR RESEARCH IN MATHEMATICAL SCIENCES HEBB SYMPOSIUM ON NEURONS AND BIOLOGICAL DYNAMICS Sunday, May 15 to Friday May 20, 1994 Koffler Pharmaceutical Center University of Toronto D.O. Hebb's classic, "The Organization of Behavior" published in 1949, sketched out how behavior might emerge from the properties of nerve cells and assemblies of nerve cells. This book was a landmark achievement in neurophysiological psychology. The modifiable synapse, discussed at length by Hebb and now known as the "Hebb synapse", was a lasting contribution. Hebb was from Nova Scotia and spent most of his professional life at McGill in the Psychology Department. We are having this symposium in his honor. Topics will range from cellular level to systems level, with an eye towards interesting dynamics and connections between dynamics and functions. We will bring together physiological and mathematical researchers with some didactic and research talks oriented towards graduate students and postdoctoral fellows. SCIENTIFIC PROGRAM: Lectures will be presented by Nancy Kopell (Boston University) and David Mumford (Harvard) in the Institute's Distinguished Lecture Series. Invited talks by Larry Abbott (Brandeis), *Moshe Abeles (Hebrew U., Jerusalem), Harold Atwood (U. Toronto), David Brillinger (Berkeley), Jos Eggermont (U. Calgary), Bard Ermentrout (U. Pittsburg), Leon Glass (McGill), Ilona Kovacs (Rutgers), Gilles Laurent (Caltech), Andre Longtin (U. Ottawa), Leonard Maler (U. Ottawa), Karl Pribram (Radford U.), Paul Rapp (Med. Coll. Penn.), John Rinzel (NIH), Mike Shadlin (Stanford), Matt Wilson (Tucson), Martin Wojtowicz (U. Toronto), Steve Zucker (McGill). Invited Attendees: Jose Segundo (UCLA), Alessandro Villa (Lausanne) Banquet Speaker: Dr. Peter Milner Professor Emeritus of Psychology, McGill University The meeting will emphasize poster sessions as well as discussion groups where participants can give short oral presentations of their work. (*=tentative) TOPICS Larry Abbott: Population vectors and Hebbian learning Moshe Abeles: Information processing of synchronized activity Harold Atwood: Synaptic transmission and plasticity David Brillinger: Statistical analysis of neurophysiological data Jos Eggermont: Spatial and temporal interactions in auditory cortex Bard Ermentrout: Patterns in visual cortex Leon Glass: Nonlinear dynamics of neural networks Ilona Kovacs: Visual psychophysics/perceptual organization Gilles Laurent: Oscillations in olfaction Andre Longtin: Stochastic nonlinear dynamics of sensory transduction Leonard Maler: Bursting and recurrent feedback in electroreception Karl Pribram: Behavioral neurodynamics Paul Rapp: Dynamical characterization of neurological data John Rinzel: Thalamic rhythmogenesis in sleep and epilepsy Mike Shadlin: Analysis of visual motion Matt Wilson: Behaviorally induced changes in hippocampal connectivity Martin Wojtowicz: Membranes, channels and synapses Steve Zucker: Neural networks and visual computations IMPORTANT DATES: Monday April 11: Last date to return questionnaire Friday April 22: Cut-off for registrations and Deadline for hotel/residence booking Sunday May 15: Arrival and registration (9 am - 12 noon) Sunday May 15 to Friday May 20 Scientific program (ending Friday noon) INFORMATION ON SCIENTIFIC PROGRAM: David Brillinger (brill@stat.berkeley.edu) Andre Longtin (andre@physics.uottawa.ca) REGISTRATION AND ORGANIZATIONAL INFORMATION: To receive registration information, please fill out the questionnaire below and return it to: Sheri Albers The Fields Institute 185 Columbia St. W. Waterloo, Ontario, Canada N2L 5Z5 Phone: (519) 725-0096 Fax: (519) 725-0704 e-mail: hebb@fields.uwaterloo.ca - ------------------------------------------------------------- ******* Questionnaire ******* TO BE COMPLETED BY ANYONE WISHING TO ATTEND THE HEBB SYMPOSIUM ON NEURONS AND BIOLOGICAL DYNAMICS Name: Institution: Department: Address: Phone: Fax: E-mail: I plan to attend: Yes ( ) No ( ) Maybe ( ) I plan to participate in the discussion groups: Yes ( ) No ( ) Maybe ( ) I plan to present a poster: Yes ( ) No ( ) Maybe ( ) Topic or tentative title: Arrival and departure dates (if other than May 14-20): FAX TO: (519)725-0704 or e-mail: hebb@fields.uwaterloo.ca ------------------------------ Subject: ISCIS IX CALL FOR PAPERS From: Ugur Halici Date: 25 Mar 1994 00:00:00 ***************************************************************** CALL FOR PAPERS ***************************************************************** ISCIS IX (International Symposium on Computer and Information Sciences-9) November 7 - 9, 1994, Antalya, Turkey ORGANIZED BY Bogazici University, Istanbul, Turkey IN COOPERATION WITH IEEE Computer Society IEEE Turkey Chapter Turkey Section CONFERENCE CHAIR: SELAHATTIN KURU, BOGAZICI U. PROGRAM CHAIRS: M.UFUK CAGLAYAN, BOGAZICI U. EROL GELENBE, DUKE U. - ------------------------------------------------------------------- TOPICS OF INTEREST - - Theoretical Computer Science - - Computer Architecture and Systems - - Artificial Intelligence - - Neural Networks - - Computer Graphics - - Image Processing and Pattern Recognition - - Real Time Computing - - Performance Modeling - - Computer Networks - - Parallel Processing and Parallel Algorithms - - Software Engineering - - Databases and Information Retrieval - - Programming Languages - - Distributed Systems - ----------------------------------------------------------------- ISCIS IX is the nineth of a series of meetings which have brought together computer scientists and engineers from many countries. This year, the special theme of the conference is "High Performance Computing", highlighting contributions from leading researchers who are working on software and hardware systems to achieve high performance in different fields of computer and information sciences. During the conference, there will be invited speeches and special sessions on different aspects of high performance computing. This year's conference will be held in a resort hotel in the beautiful Mediterranean city of Antalya, in a region rich in natural as well as historical sites. - ----------------------------------------------------------------- PAPER SUBMISSION Please submit four copies (one camera ready and three copies) of the full paper (in English) limited to 8 pages by May 31, 1994 to: ISCIS IX - Department of Computer Engineering Bogazici University Bebek 80815, Istanbul, TURKEY E-mail: iscis@trboun.bitnet Tel: +90 (212) 263 1540 ext. 1323 Fax: +90 (212) 265 8488 Paper Format: on A4 or letter size paper with single space, single column, one inch margins on all four sides. The first page should have a two inch margin at the top. Centered at the top of the first page should be the complete title of the paper, author(s), affiliation(s), mailing and e-mail address(es), then the abstract, not exceeding 15 lines, followed by the text. In an accompanying letter, the following should be included: full title of the paper, author name(s), mailing address(es), telephone and fax numbers and e-mail address(es) of the author(s) indicating the presenter and technical session names (1st and 2nd choices) to be selected from the list of topics given above. Authors will be notified of the decisions by August 15, 1994. Accepted papers will be published in the symposium proceedings. - ----------------------------------------------------------------- INVITED SESSIONS The symposium welcomes proposals for invited sessions especially on high performance computing issues. The proposals should be sent by May 31, 1994 to the above address. The organizer for each invited session should submit a title, a brief description of the relevance of the session to the conference, and a maximum of four invited full papers for review. Organizers and authors will be notified of decisions by August 15, 1994. ****************************************************************** ------------------------------ Subject: Call for Articles: Automatic Target Recognition issue, Neural Networks From: announce@PARK.BU.EDU Date: Mon, 28 Mar 1994 15:39:57 -0500 ***** CALL FOR PAPERS ***** 1995 Special Issue of the journal Neural Networks on "Neural Networks for Automatic Target Recognition" ATR is a many-faceted problem of tremendous importance in industrial and defense applications. Biological systems excel at these tasks, and neural networks may provide a robust, real-time, and compact means for achieving solutions to ATR problems. ATR systems utilize a host of sensing modalities (visible, multispectral, IR, SAR, and ISAR imagery; radar, sonar, and acoustic time series; and fusion of multiple sensing modalities) in order to detect and track targets in clutter, and classify them. This Special Issue will bring together a broad range of invited and contributed articles that explore a variety of software and hardware modules and systems, and biological inspirations, focused on solving ATR problems. We particularly welcome articles involving applications to real data, though the journal cannot publish classified material. It will be the responsibility of the submitting authors to insure that all submissions are of an unclassified nature. Co-Editors: - ----------- Professor Stephen Grossberg, Boston University Dr. Harold Hawkins, Office of Naval Research Dr. Allen Waxman, MIT Lincoln Laboratory Submission: - ----------- Deadline for submission: October 31, 1994 Notification of acceptance: January 15, 1995 Format: as for normal papers in the journal (APA format) and no longer than 10,000 words Address for Papers: - ------------------- Professor Stephen Grossberg Editor, Neural Networks Boston University Department of Cognitive and Neural Systems 111 Cummington Street Room 244 Boston, MA 02215 USA ------------------------------ Subject: FInal CFP - NN and Astronomy From: lsl@mail.ast.cam.ac.uk (Lisa Storrie-Lombardi) Date: Wed, 16 Mar 1994 13:29:00 +0000 __________________________________________________________________________ FINAL CALL FOR PAPERS __________________________________________________________________________ First International Workshop on Neural Network Applications in Astronomy __________________________________________________________________________ to be held from 22 - 25 JULY, 1994 at the Steward Observatory, University of Arizona Tucson, Arizona, USA Initial research efforts at multiple sites indicate that neural network technology can provide the astronomical community with new tools for galaxy/star separation, automated classification of stellar spectra and galaxy images, adaptive optics control, meteor tracking, sunspot prediction, and data compression. This Workshop will serve as a forum for the exchange of ideas concerning current and future applications of neural network technology in astronomical research. INVITED SPEAKERS WORKSHOP * A. E. Roy (Glasgow) The Development of Neural Networks * S. C. Odewahn (Minnesota) Star/Galaxy Classification * K. McPherson (Glasgow) Solar Flares and Chaos * O. Lahav (Cambridge) Extragalactic Studies and Cosmology * M. Lloyd-Hart (Tuscon) Adaptive Optics Design * M. Storrie-Lombardi (Cambridge) Image and Spectra Classification Program activities will include invited review talks on the major topics along with contributed oral and poster presentations describing current research in the field. Ample time will be allowed for informal discussions between the participants, as well as optional field trips. The proceedings will be published in a special issue of Vistas in Astronomy. The Workshop is sponsored by the Steward Observatory and Pergamon Press, Ltd. * URGENT! YOU HAVE ONLY 2 WEEKS LEFT to submit an abstract or to register at the much reduced early registration rate. Only a few slots for oral presentations remain, but there will be ample space for posters and discussion sessions. It will greatly help with the organisation of the meeting if as many people as possible could register before the end of March. * ENQUIRES OR REGISTRATIONS PLEASE TO ANY OF: * Michael LLOYD-HART, Steward Observatory, Tuscon, AZ, USA 85721 (mlloydhart@as.arizona.edu) * Raymond E. WHITE, Steward Observatory, Tuscon, AZ, USA 85721 (rwhite@as.arizona.edu) * Michael C. STORRIE-LOMBARDI, Institute of Astronomy, Madingley Road, Cambridge, CB3 0HA, UK (mcsl@mail.ast.cam.ac.uk) REGISTRATION DETAILS Early Registration Fee ($75 U.S.) BEFORE 31 March 1994 Regular Registration Fee ($100 U.S.) AFTER 31 March but BEFORE 1 June 1994 Late Registration Fee ($125 U.S.) AFTER 1 June 1994 Hotel: ($39 U.S. per night, single OR double occupancy) Special Dinner ($20 U.S.) NOTE: Hotel reservations are the responsibility of each attendee, and can be made with the Plaza International Hotel (tel.: 800-843-8052; fax: 602- 327-0276), quite near the conference site (easy walking distance). - -------------------------------------------------------------------------- REGISTRATION FORM __________________________________________________________________________ First International Workshop on Neural Network Applications in Astronomy __________________________________________________________________________ to be held from 22 - 25 JULY, 1994 at the Steward Observatory, University of Arizona Tucson, Arizona, USA __________________________________________________________________________ ** PLEASE RETURN THIS FORM as soon as possible to R.E. White: E-MAIL: rwhite@as.arizona.edu FAX: (602) 621-1532 POSTAL MAIL: Dr. Raymond E. White Steward Observatory University of Arizona Tucson, AZ 85721 USA Name: _______________________________________________ Institution: ______________________________________________ Address: _______________________________________________ _______________________________________________ _______________________________________________ Phone: ___________________________________ FAX: ____________________________ e-mail: ___________________________________ Early Registration Fee ($75 U.S.) BEFORE 31 March 1994 $_________ Regular Registration Fee ($100 U.S.) BEFORE 1 June 1994 $_________ Special Dinner ($20 U.S.): $_________ TOTAL . . . . . . . . . . . . . . $_________ Hotel Reservations available at approximately $39 U.S./night, single OR double: NOTE: Attendees are responsible for making their own reservations. Plaza International Hotel: PHONE 1-800-843-8052 FAX 1-602-327-0276 [ ] I plan to present a paper and would prefer: [ ] POSTER [ ] ORAL PRESENTATION - -------------------------------------------------------------------------- ABSTRACT SUBMISSION FORM *** DUE 31 MARCH 1994 __________________________________________________________________________ First International Workshop on Neural Network Applications in Astronomy 22 - 25 JULY, 1994 at the Steward Observatory University of Arizona, Tucson, Arizona, USA __________________________________________________________________________ NAME AND FULL ADDRESS (including FAX and e-mail address): ...................................................... ...................................................... ...................................................... ...................................................... ...................................................... ...................................................... ...................................................... I prefer to present this contribution as: POSTER ..... ORAL PRESENTATION ..... TITLE: ..................................................................... ABSTRACT: - --------------------------------------------------------------------------- ------------------------------ End of Neuron Digest [Volume 13 Issue 18] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 9784; Wed, 30 Mar 94 18:28:21 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Wed, 30 Mar 94 18:28:18 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA28091; Wed, 30 Mar 94 18:12:27 -0500 Return-Path: Received: by cattell.psych.upenn.edu id AA24778; Wed, 30 Mar 94 16:28:35 EST Posted-Date: Wed, 30 Mar 1994 16:27:03 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V13 #19 (conferences) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Wed, 30 Mar 1994 16:27:03 EST Message-Id: <24714.765062823@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Wednesday, 30 Mar 19?4 Volume 13 : Issue 19 Today's Topics: "Conference in Hyderabad, India" IWANN'95 Call for Papers Conference on Oscillations in Neural Systems Please Post/Distribute Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31) in pub/Neuron-Digest or by sending a message to "archive-server@psych.upenn.edu". ---------------------------------------------------------------------- Subject: "Conference in Hyderabad, India" From: VEMURI@icdc.llnl.gov Date: 16 Mar 1994 13:40:05 -0700 FIRST ANNOUNCEMENT CALL FOR PAPERS IEEE/IAS INTERNATIONAL CONFERENCE HYDERABAD, INDIA JANUARY 5-7, 1995 IEEE INDUSTRIAL AUTOMATION AND CONTROL COSPONSORED BY IEEE INDUSTRIAL APPLICATIONS SOCIETY IEEE HYDERABAD SECTION IEEE INDIA COUNCIL TOPICS COVERED: Expert Systems, Neural Networks and Fuzzy logic Controllers Neural Nets in Industrial Automation Intelligent Sensors, transducers, and actuators Programmable controllers and Industrial Controllers Distributed Computer Control Systems Flexible Automation Systems Real-Time Communications Networks and Controls Energy Conservation Tools and Technologies .Other topics can be added. PAPER DEADLINES 15 June 94 Receipt of Extended Abstract from Authors 16 August 94 Notification of Acceptance 14 October 94 Receipt of camera-ready full paper from authors TUTORIALS Many pre-conference and post-conference tutorials are being planned. If you have a proposal for a tutorial, please submit your proposals by 15 June 1994 to the Technical Program Chair (USA) PROGRAM COMMITTEE GENERAL CHAIR: DR. E. BHAGIRADHA RAO ENGINEERING STAFF COLLEGE OF INDIA KHAIRATABAD, HYDERABAD- 500 004, INDIA EMAIL: ebrao%engsci@uunet.in Technical Program Co-Chair (INDIA) Dr. Vijay P. Bhatkar Director, Center for Development of Advanced Computing Poona University Campus PUNE 411 007, INDIA Email: bhatkar@parcom.ernet.in Technical Program Co-Chair (INDIA) Dr. M. Safiuddin President, STS International 2451 Wehrle Building, Suite F Williamsville, NY 14211, USA Tel: (716) 688-2056 Fax: (716) 688-2056 or, Dr. V. Rao Vemuri Professor, Dept. of Applied Science University of California at Davis Livermore, CA 94550 Tel: (510) 424-4051 Fax: (510) 422-8681 Email: vemuri@icdc.llnl.gov IF YOU ARE INTERESTED IN ATTENDING, PRESENTING A PAPER, ORGANIZING A SESSION OR CONDUCTING A TUTORIAL, PLEASE CONTACT ANY OF THE ABOVE INDIVIDUALS. ------------------------------ Subject: IWANN'95 Call for Papers From: Jose Ramon Alvarez Sanchez Date: Wed, 16 Mar 1994 19:14:29 +0100 INTERNATIONAL WORKSHOP ON ARTIFICIAL NEURAL NETWORKS IWANN'95 Preliminary Announcement and First Call for Papers Malaga - Costa del Sol, Spain June 7 - 9, 1995 SPONSORED BY IFIP (Working Group in Neural Computer Systems, WG10.6) Spanish RIG IEEE Neural Networks Council UK&RI communication chapter of IEEE Spanish Computer Society chapter of IEEE AEIA (IEEE affiliate society) ORGANISED BY Universidad de Malaga UNED (Madrid) IWANN'95. The third International Workshop on artificial Neural Networks, will take place in the Spanish "Costa del Sol" (Malaga) from 7 to 9 of June, 1995. This biennial meeting with focus on Biological Models and New Computing Paradigms, was first held in Granada (1991) and Sitges (1993) with a growing number of participants from more than 20 countries and with high quality papers published by Springer-Verlag (LNCS 540 and 686). SCOPE From the computational viewpoint, standard neural networks paradigms are nearly exhausted and some fresh air is needed. In this workshop, remaining with the powerful roots of neural computation (modularity, autonomy, distributed computation and self-programming via supervised or non-supervised learning), focus is placed on Biological Modeling, the search of Theory and Design Methodologies and the bridge between Connectionism and Symbolic Computation. IWANN's main objective is to offer an interdisciplinary forum for scientists and engineers from Neurology, Computer Science, Artificial Intelligence, Electronics, Cognitive Science and applied domains, looking after brain storming and innovative formulations of Natural and Artificial Neural Computation. It is the deep feeling of the IWANN's organizers that this more-complex, biologically inspired, and theoretical and methodologically supported approach will also provide us with more powerful tools for applied domains. Contributions on the following or related topics are welcome. TOPICS 1. Neuroscience: (Principles, methodologies in brain research, modeling and simulation, central and peripheral neural coding, dendro-dentritic nets, local circuits, anatomical and physiological organizations, plasticity, learning and memory in natural neural nets, models of development and evolution, specific circuits in sensorial and motor pathways, networks in cerebral cortex). 2. Computational Models of Neurons and Neural Nets: Continuous (linear, high order, recurrent), logic, sequential, inferential (object oriented, production rules, frames), probabilistic, Bayesian, fuzzy and chaotic models, hybrid formulations, massive computation and learning enabling structures for all these formulations. 3. Organizational Principles: The living organization, deterministic networks dynamics, autopoiesis, self-organization, cooperative processes and emergent computation, synergetics, evolutive optimization and genetic algorithms. 4. Learning: Inspirations from the biological mechanisms of learning, supervised and unsupervised strategies, local self-programming, continous learning, evolutive algorithms, symbolic-subsymbolic formulations. 5. Cognitive Science and AI: Neural networks for knowledge acquisition, multisensorial integration, perception, knowledge- based neural nets, inductive, deductive and abductive reasoning, memory mechanisms, natural language. 6. Neurosimulators: Languages, environments, parallelization, modularity, extensibility and benchmarks. 7. Hardware Implementation: VLSI, parallel architectures, neurochips, preprocessing networks, neurodevices, FPGA's, benchmarks, optical and other technologies. 8. Neural Networks for Perception: Low level processing, segmentation, feature extraction, pattern recognition, adaptive filtering, noise reduction, texture, motion analysis, hybrid symbolic-neural architectures for artificial vision. 9. Neural Networks for communications systems: Modems and codecs, network management, digital communications. 10. Neural Networks for control and robotics: Systems identification, motion planning and control, adaptive and predictive control, navigation, real time applications. LOCATION Malaga - Costa del Sol, June 7-9, 1995. Malaga, capital of the Costa del Sol, is strategically located on the southern coast of Spain. It is a genuine crossroads of communication and culture. Malaga is well-know for its history (Cathedral, historic down-town, arabian citadel, roman amphitheatre, ...) and excelent beaches. Malaga, with many modern hotels, is very well communicated by car or plane; its international airport has direct flights to all major European capitals, to America and some destinations on the other continents. LANGUAGE English will the official language of IWANN'95. Simultaneous translation will not be provided. CALL FOR PAPERS The Programme Committee seeks original papers on the above mentioned Topics. Authors should pay special attention to explanation of theoretical and technical choices involved, point out possible limitations and describe the current state of their work. Authors must take into account the following: INSTRUCTIONS TO AUTHORS Authors must submit four copies of full papers, not exceeding 8 pages in DIN-A4 format. The heading should be centered and include: . Title in capitals. . Name(s) of author(s). . Address(es) of author(s). . A 10 line abstract. Three blank lines should be left between each of the above items, and four between the heading and the body of the paper, 1.6 cm left, right, top and bottom margins, single-spaced and not exceeding the 8 page limit. In addition, one sheet should be attached including the following information: . Title and author(s) name(s). . A list of five keywords. . A reference to the Topics the paper relates to. . Postal address, phone and fax numbers and E-mail (if available). All received papers will be reviewed by the Programme Committee. Accepted papers may be presented orally or as poster panels, however all accepted contributions will be published in full length. (Springer-Verlag Proceedings are expected). IMPORTANT DATES Second Call for Papers September, 1994 Final date for submission January 15, 1995 Notification of acceptance March 15, 1995 Workshop June 7-9, 1995 CONTRIBUTIONS MUST BE SENT TO: Prof. Jose Mira Dpto. Informatica y Automatica UNED Senda del Rey, s/n 28040 MADRID (Spain) Phone: +34 (1) 398-7155 Fax: +34 (1) 398-6697 Email: jose.mira@uned.es GENERAL CHAIRMAN Alberto Prieto Unv. de Granada (E) ORGANIZATION COMMITTEE Joan Cabestany Unv. Pltca. de Catalunya (E) Chairman Senen Barro Unv. de Santiago de Compostela (E) Trevor Clarkson King's College London (UK) Dante Del Corso Politecnico de Torino (I) Ana Delgado UNED. Madrid (E) Karl Goser Unv. Dortmund (G) Jeanny Herault INPG Grenoble (F) K.Nicholas Leibovic SUNY at Buffalo (U.S.A.) Jose Mira UNED. Madrid (E) Federico Moran Unv. Complutense. Madrid (E) Stanislaw Osowski Tech. Unv. Warsaw (Po) Conrad Perez Unv. de Barcelona (E) Francisco Sandoval Unv. de Malaga (E) Juan A. Siguenza Unv. Autonoma de Madrid (E) Elena Valderrama CNM-Unv. Autonoma de Barcelona (E) Marley Vellasco Pont. U. Catolica do Rio de Janeiro (Br) Michel Verleysen Unv. Catholique de Louvain (B) LOCAL COMMITTEE Francisco Sandoval Unv. de Malaga (E) Chairman Antonio Diaz Unv. de Malaga (E) Gonzalo Joya Unv. de Malaga (E) Francisco Vico Unv. de Malaga (E) TENTATIVE PROGRAMME COMMITTEE Jose Mira UNED. Madrid (E) Chairman Carlos Acuna C. Unv. Santiago de Compostela (E) Joshua Alspector Bellcore. (USA) Sanjeev B.Ahuja Nielsen A.I. Research & Development. Bannokburn (USA) Igor Aleksander Imperial College. London (UK) Luis B. Almeida INESC. Lisboa (P) Shun-ichi Amari Unv. Tokyo (Jp) Michael Arbit Unv. Southern, CA (USA) Xavier Arreguit CSEM SA (CH) Francois Blayo LERI-EERIE. Nimes (F) Colin Campbell University of Bristol (UK) Jordi Carrabina CNM- Universidad Autonoma de Barcelona (E) Francisco Castillo Unv. Pltca. de Catalunya (E) Antoni Catala Unv. Pltca. de Catalunya (E) Gloria Cembrano Instituto de Cibernetica. CSIC. Barcelona (E) Leon Chua Unv. California, Berkeley (USA) Michael Cosnard LIP. Ecole Normale Superieure de Lyon (F) Marie Cottrell Unv. Paris I (F) Dante A. Couto B. Instituto de Informatica (Br) Gerard Dreyfus ESPCI. Paris (F) F.K. Fogelman Soulie Mimetics. Chatenay Malabry (F) J. Simoes da Fonseca Unv. Lisboa (P) Kunihiko Fukushima Unv. Osaka (Jp) Hans Peter Graf AT&T Bell Laboratories, New Jersey (USA) Francesco Gregoretti Politecnico di Torino (I) Karl E. Grosspietsch Mathematik und Datenverarbeitung (GMD) St. Augustin (D) Mohamad H. Hassoun Wayne State University (USA) Jaap Hoekstra Delft University of Technology (NL) P.T.W. Hudson Leiden University (NL) Jose Luis Huertas CNM- Universidad de Sevilla (E) Paul G.A. Jespers Universite Catholique de Louvain (B) Simon Jones IERI Loughborough University of Technology (UK) Chistian Jutten INPG Grenoble (F) H. Klar Technische Universitat Berlin (D) C.Koch CalTech. (USA) Teuvo Kohonen Helsinki Unv. of Techn. (Fin) Michael D. Lemmon University of Notre Dame. Notre Dame (USA) K. Nicholas Leibovic SUNY at Buffalo, NY (USA) Panos A. Ligomenides Unv. of Maryland (USA) Javier Lopez Aligue Unv. de Extremadura. (E) Pierre Marchal CSEM SA (CH) Anthony N. Michel University of Notre Dame. Notre Dame (USA) Roberto Moreno Unv. Las Palmas Gran Canaria (E) Jean Daniel Nicoud EPFL (CH) Josef A. Nossek Tech. Univ. of Munich (D) Julio Ortega Unv. de Granada (E) Marco Pacheco Pont. U. Catolica do Rio de Janeiro (Br) Conrad Perez Unv. de Barcelona (E) Francisco J. Pelayo Unv. de Granada (E) Franz Pichler Johannes Kepler Univ. (A) Ulrich Ramacher Siemens AG. Munich (D) J.Ramirez Paradigma C.A. Caracas (V) Leonardo Reyneri Unv. di Pisa (I) Tamas Roska Hungarian Academy of Science. Budapest (H) Peter A. Rounce Unv. College London (UK) V.B. David Sanchez German Aerospace Research Establishment. Wessling (G) E. Sanchez-Sinencio Texas A&M University (USA) David Sherrington University of Oxford (UK) Renato Stefanelli Politecnico di Milano (I) T.J. Stonham Brunel-University of West London (UK) John G. Taylor King's College London (UK) Carme Torras Instituto de Cibernetica. CSIC. Barcelona (E) Philip Treleaven Unv. College London (UK) Eric Vittoz CSEM SA (CH) Michel Weinfeld Ecole Polytechnique Paris (F) Bernard Widrow Stanford University CA (USA) R.Yager Iona College NY (USA) INFORMATION FORM to be returned as soon as possible to: Prof. F. Sandoval IWANN'95 Dept. Tecnologia Electronica Universidad de Malaga Pza. El Ejido, s/n E-29013 Malaga SPAIN Phone: +34.5.213.13.52 Fax: +34.5.213.14.47 E-mail: iwann95@ctima.uma.es ---------------------------------------------------------------- ___ I wish to attend the Workshop ___ I intend to submit a paper Tentative title: ................................................. .................................................................. Author (s): ...................................................... .................................................................. Related Topics: .................................................. .................................................................. Last name: ....................................................... First name: ...................................................... Company/Organization: ............................................ .................................................................. .................................................................. Address: ......................................................... .................................................................. .................................................................. .................................................................. Postal code/Zip code: ............................................ City: ............................................................ State/Country: ................................................... Phone: ........................................................... Fax: ............................................................ E-mail: .......................................................... ------------------------------ Subject: Conference on Oscillations in Neural Systems From: sriram@cse.uta.edu (Sriram Govindarajan) Date: Wed, 23 Mar 1994 00:13:30 -0600 ANNOUNCEMENT AND CALL FOR ABSTRACTS Conference on Oscillations in Neural Systems, Sponsored by the Metroplex Institute for Neural Dynamics (MIND) and the University of Texas at Arlington. To be held Thursday through Saturday, MAY 5-7, 1994 Location: UNIVERSITY OF TEXAS AT ARLINGTON MAIN LIBRARY, 6TH FLOOR PARLOR Official Conference Motel: Park Inn 703 Benge Drive Arlington, TX 76013 1-800-777-0100 or 817-860-2323 A block of rooms has been reserved at the Park Inn for $35 a night (single or double). Room sharing arrangements are possible. Reservations should be made directly through the motel. Official Conference Travel Agent: Airline reservations to Dallas-Fort Worth airport should be made through Dan Dipert travel in Arlington, 1-800-443-5335. For those who wish to fly on American Airlines, a Star File account has been set up for a 5% discount off lowest available fares (two week advance, staying over Saturday night) or 10% off regular coach fare; arrangements for Star File reservations should be made through Dan Dipert. Please let the conference organizers know (by e-mail or telephone) when you plan to arrive: some people can be met at the airport (about 30 minutes from Arlington), others can call Super Shuttle at 817-329-2000 upon arrival for transportation to the Park Inn (about $14-$16 per person). Registration for the conference is $25 for students, $65 for non- student oral or poster presenters, $85 for others. MIND members will have $20 (or $10 for students) deducted from the registration. A registration form is attached to this announcement. Registrants will receive the MIND monthly newsletter (on e-mail when possible) for the remainder of 1994. Invited speakers: Bill Baird (University of California, Berkeley) Adi Bulsara (Naval Command, Control, and Ocean Surveillance Center, San Diego) Alianna Maren (Accurate Automation Corporation) George Mpitsos (Oregon State University) Martin Stemmler (California Institute of Technology) Roger Traub (IBM, Tarrytown, New York) Robert Wong (Downstate Medical Center, Brooklyn) Geoffrey Yuen (Northwestern University) Those interested in presenting are invited to submit abstracts (1-2 paragraphs) any time between now and March 31, 1994, of any work related to the theme of the conference. The topic of neural oscillation is currently of great interest to psychologists and neuroscientists alike. Recently it has been observed that neurons in separate areas of the brain will oscillate in synchrony in response to certain stimuli. One hypothesized function for such synchronized oscillations is to solve the "binding problem," that is, how is it that disparate features of objects (e.g., a person's face and their voice) are tied together into a single unitary whole. Some bold speculators (such as Francis Crick in his recent book, The Astonishing Hypothesis) even argue that synchronized neural oscillations form the basis for consciousness. Talks will be 1 hour for invited speakers and 45 minutes for contributed speakers including questions. There will be no parallel sessors. Contributors whose work is considered worthy of presentation but who cannot be fit into the schedule will be invited to present posters. Presenters will not be required to write complete papers. After the conference is over, we will attempt to obtain a contract with a publisher for a book based on the conference. Oral and poster presenters will be invited to submit chapters to this book, although it is not a precondition for being a speaker. Two books based on previous MIND conferences (Motivation, Emotion, and Goal Direction in Neural Networks and Neural Networks for Knowledge Representation and Inference) have been published by Lawrence Erlbaum Associates, and a book based on our last conference (Optimality in Biological and Artificial Networks?) is now in progress, under contract with Erlbaum as part of their joint series with INNS. Abstracts should submitted, by e-mail, snail mail, or fax, to: Professor Daniel S. Levine Department of Mathematics, University of Texas at Arlington 411 S. Nedderman Drive Arlington, TX 76019-0408 Office telephone: 817-273-3598, fax: 817-794-5802 e-mail: b344dsl@utarlg.uta.edu Further inquiries about the conference can be addressed to Professor Levine or to the other two conference organizers: Professor Vincent Brown Mr. Timothy Shirey 817-273-3247 214-495-3500 or 214-422-4570 b096vrb@utarlg.uta.edu 73353.3524@compuserve.com Please distribute this announcement to anyone you think may be interested in the conference. REGISTRATION FOR MIND/INNS CONFERENCE ON OSCILLATIONS IN NEURAL SYSTEMS, UNIVERSITY OF TEXAS AT ARLINGTON, MAY 5-7, 1994 Name ______________________________________________________________ Address ___________________________________________________________ ___________________________________________________________ ___________________________________________________________ ____________________________________________________________ E-Mail __________________________________________________________ Telephone _________________________________________________________ Registration fee enclosed: _____ $15 Student, member of MIND _____ $25 Student _____ $65 Non-student oral or poster presenter _____ $65 Non-student member of MIND _____ $85 All others Will you be staying at the Park Inn? ____ Yes ____ No Are you planning to share a room with someone you know? ____ Yes ____ No If so, please list that person's name __________________________ If not, would be you be interested in sharing a room with another conference attendee to be assigned? ____ Yes ____ No PLEASE REMEMBER TO CALL THE PARK INN DIRECTLY FOR YOUR RESERVATION (WHETHER SINGLE OR DOUBLE) AT 1-800-777-0100 OR 817-860-2323. ------------------------------ Subject: Please Post/Distribute From: stiber@cs.ust.hk (Dr. Michael Stiber) Date: Wed, 30 Mar 1994 18:39:34 +0700 1994 Annual Conference of Japanese Neural Network Society Date: Nov. 8-11, 1994 Place: Tsukuba, Ibaraki, Japan Major topics: Neuroscience, Cognitive Science, Models & algorithms, Hardware, Applications Deadline of camera ready form: July 31, 1994(postmarked) 1 or 2 pages of A4 size, 2cm margin on all sides Language: Japanese / English Registration fee: 5,000 yen (3,000 yen for students) For more information contact: Kazuhisa Niki Electrotechnical Laboratory, Tsukuba, Ibaraki 305, Japan Phone: +81-298-58-5858, Fax: +81-298-52-0865 Email: niki@etl.go.jp ------------------------------ End of Neuron Digest [Volume 13 Issue 19] *****************************************