neuron-request@hplabs.hpl.hp.com ("Neuron-Digest Moderator Peter Marvit") (02/27/90)
Neuron Digest Monday, 26 Feb 1990
Volume 6 : Issue 17
Today's Topics:
FYI: super neurocomputer
Translation-Invariant Pattern Recognizer NN's
Re: Translation-Invariant Pattern Recognizer NN's
Re: Translation-Invariant Pattern Recognizer NN's
Re: Translation-Invariant Pattern Recognizer NN's
Edelman
3rd Intn'l Symposium on AI (Mexico)
Neocognitron (revised) Code
NEW JOURNAL: MINDS & MACHINES
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------------------------------------------------------------
Subject: FYI: super neurocomputer
From: fletcher@hplabs.hp.com
Date: Thu, 11 Jan 90 09:48:06 -0800
[[ Editor's Note: A friend of mine sent this to me and I haven't looked
up the reference. Does anyone have any additional information about
Fujitsu? -PM ]]
this is from a newswire abstract service I get:
*-*3 Fujitsu unveils fast neurocomputer
Fujitsu has developed a `super neurocomputer' with processing
speedsthat are several hundred times faster than those of models
currently on the market. The company added that it hoped to
commercialise the new machine in 1991.
International Herald Tribune. English. 1990-01-09. Size: 3 c. Wall
Street Journal/Europe. English. 1990-01-09. Size: 1 c
The 8 Jan 90 US WSJ is the issue most likely to have this story.
------------------------------
Subject: Translation-Invariant Pattern Recognizer NN's
From: linco@eng.umd.edu (Sam Lin)
Organization: Merriversity of Uniland, College Purgatory
Date: 08 Feb 90 00:03:19 +0000
In their paper, "Neural Nets for Adaptive Filtering and Adaptive Pattern
Recognition (IEEE Computer, March 1988)," Bernard Widrow and Rodney
Winter describe a feed-forward network for pattern recognition, whose
responses are invariant to translation, rotation, and scale change of the
input pattern. This network is based on multiple ADALINE neurodes, and
the Madaline rule II (MRII) training method. Does anyone know where I
can find further information on this network? Is there a follow-up
article? Sources of information on the translation/rotation/scale
invariance of backpropagation (or other networks) in pattern recognition
would also be appreciated. Thanks in advance.
Sam Lin
Internet: linco@eng.umd.edu
UUCP: ..!uunet!eng.umd.edu!linco
------------------------------
Subject: Re: Translation-Invariant Pattern Recognizer NN's
From: cs.utexas.edu!usc!elroy.jpl.nasa.gov!aero!robert@tut.cis.ohio-state.edu (Bob Statsinger)
Organization: Ahh...wouldntya like to know!
Date: 15 Feb 90 20:14:45 +0000
A different approach to Invariant Pattern Recognition may be found in
Christoph von der Malsburg's Dynamic Link Architecture. Malsburg also
uses a layered architecture, but his approach is self-organization.
Patterns are represented as labeled topological graphs composed of the
*correlation* behavior of neighboring cells in a layer. Pattern
recognition is then implemented through graph matching. The correlational
graphs express neighborhood relationships between features in the input
and yield a robust invariance to translation, scaling, or distortion.
See "Pattern Recognition by Labeled Graph Matching"
Neural Networks, vol. 1, pp 141-148, 1988
Bob Statsinger Robert@aerospace.aero.org
The employers expressed herein are strictly mine and are
not necessarily those of my opinion's....uh..er...whatever...
------------------------------
Subject: Re: Translation-Invariant Pattern Recognizer NN's
From: snorkelwacker!usc!elroy.jpl.nasa.gov!aero!aerospace.aero.org!plonski@tut.cis.ohio-state.edu (Mike Plonski)
Organization: The Aerospace Corporation
Date: 15 Feb 90 23:55:29 +0000
You can also look at the following refernces which I sliced out of my
reference file in tib (sort of bib) style format. The following
abreviations may help. The %X are my comments and are not intended as a
complete summary.
- ---- ABREV. ----
ba:~ (52) tibabb neunet
D NEUNET Neural Networks\
ba:~ (53) tibabb icnn88
D ICNN88 IEEE International Conference on Neural Networks\
(55) tibabb icnn87
D ICNN87 IEEE First International Conference on Neural Networks\
ba:~ (57) tibabb aip151
D AIP151 AIP Conf. Proc. 151 - Neural Networks for Computing\
- ------REF.--------------------
ba:~ (56) tiblook invariant
%T Invariant Pattern Recognition by Means of Fast Synaptic Plasticity
%A Jochim Buhmann
%A Klaus Schulten
%J |ICNN88|
%V I
%P 125-13
%A H. H. Chen
%A Y. C. Lee
%A G. Z. Sun
%A H. Y. Lee
%A T. Maxwell
%A C. L. Giles
%T High Order Correlation Model for Associative Memory
%J |AIP151|
%P 86-99
%K symmetry invariant pattern recognition
%X Gives Lyapunov function for high order nets, shows convergence of high order
for synchronous and asynchronous schems, uses character recognition with
shift invariance, shows higher order models can store more patterns
than second order (normal) correlation models for assoc. memory
2nd order storage for hopfield net is limited to N/(4*log(N))
%T Neocognitron: A Hierarchical Neural Network Capable of Visual
Pattern Recognition
%A Kunihiko Fukushima
%J |NEUNET|
%V 1
%N 2
%P 119-130
%D 1988
%K scale, position invariant
%A C. L. Giles
%A T. Maxwell
%T Learning, invariance, and generalization in high order neural networks
%J Applied Optics
%V 26
%N 23
%D 1 |DEC| 1987
%P 4972-4978
%A C. L. Giles
%A R. D. Griffin
%A T. Maxwell
%T Encoding Geometric Invariances in Higher Order Neural Networks
%J Neural Information Processing Systems
%I AIP Conf. Proc.
%E D. Z. Anderson
%D 1988
%P 301-309
%X good paper, derives constraints for 3rd order network with
translational, rotational, and positional invariance;
Gives constraints for simultaneous translation and scale invariance;
Used 8x8 input size and and 1 output node to distinguish
the letters C and T, Claims good results for scale factors upto 4x;
Higher Order connections are equivalent to Sigma-Pi units;
Uses back propagation to train scale invariant weights in multilayers;
invariance is independent of training rules and sigmoid function;
%T Distortion Invariant Character Recognition by a Multi-Layer
Perceptron and Back Propogation Learning
%A A. Khotanzad
%A J. H. Lu
%J |ICNN88|
%V I
%P 625-632
%A G. Krishnan
%A D. Walters
%T Psychologically plausible features for shape recognition in a neural network
%J |ICNN88|
%V II
%P 127-134
%K image invariance
%A T. Maxwell
%A C. L. Giles
%A Y. C. Lee
%A H. H. Chen
%T Transformation Invariance Using Higher Order Correlations in
Neural Net Architectures
%J Proc. IEEE Intl. Conf. on Systems, Man, and Cybernetics
%C Atlanta, GA
%D 14-17 |OCT| 1986
%P 627-632
%K HOLU, group theory, tolerance, temporal invariance
%X Good Paper for introduction to positional invariance using HOLU
(Higher order learning units);
use group invariant approach;
invariant autoassociative memory;
good simple example of sign-change invariance for XOR problem;
transformation invariance is imposed by averaging the input of each unit over
transformation group using group theory; The higher the order the more
storage capacity. position invariance - we have one output neuron that responds
the same invariant of the position; position tolerance - we have an output
neuron for each possible location that responds to the input;
Discusses storage limitations for higher order nets;
%A T. Pawlicki
%T Recognizing Image Invariants in a Neural Network Architecture
%J |ICNN88|
%V II
%P 135-142
%A W. L. Reber
%A J. Lyman
%T An Artificial Neural System Design for Rotation and
Scale Invariant Pattern Recognition
%V IV
%P 277-283
%J |ICNN87|
%K image processing
%X Good Paper,
has good intro with references for various transforms to achieve
invariance, strictly NN aproach with 7 slabs: 1 input, Polar
Transform, Log/Polar Transform, 1D FT rows, 1D FT columns,
classifier, output display; total of 5419 PE and 238,266 IC
%T Performance of Backpropagation for Rotation Invariant Pattern
Recognition
%A Hedong Yang
%A Clark C. Guest
%J |ICNN87|
%V IV
%P 365-370
%\def\Zzz{Special Issue on Neural Networks}
%J Applied Optics
%A \Zzz
%V 26
%N 23
%D 1 |DEC| 1987
%K special Issue
%X contains papers on Adaptive, associative, and self-orgainizing
functions in neural computing; ART 2: self-organization of stable
category recognition codes for analog input patterns;
Probing cognitive processes through the structure of event-related
potentials during learning: an experimental analysis;
Adaptive bidirectional associative memories;
Dynamic control of an artifical neural system: the property
inheritance network;
Learning, invariance, and generalization in high-order neural
networks;
Counterpropagation networks;
Neural network model for selective attention in visual pattern
recognition and associative recall;
Retinal model for adaptive contrast sensitivity and resolution;
Associative learning of scene parameters from images;
Optimization of the computational load of a hypercube supercomputer
onboard a mobile robot;
Neural dynamics of attentionaly modulated Pavlovian conditioning:
blocking interstimulus interval, and secondary reinforcement;
Dynamic optical interconnects: volume holograms as optical two-port
operators;
Optical implementations of associative networks with versatile
adaptive learning capabilities;
Designs and devices for optical bidirectional associative memories;
Multilayer optical learning networks;
Electronic neural network chips;
Building a hierarchy with neural networks: an example - image vector
quantization;
Electronic hardware implementations of neural networks;
Optoelectronic analogs of self-programming neural nets: architecture
and methodologies for implementing fast stochastic learning by
simulated annealing;
Optoelectronic resonator neural networks
%T Invariant Pattern Recognition and Recall by an Attentive Self
Organizing Art Architecture in a Nonstationary World
%A Gail A. Carpenter
%A Stephen Grossberg
%J |ICNN87|
%V II
%P 737-745
%T Coordinate Transformation From an Image Plane Directly to an
Invariant Feature Space
%A Richard A. Messner
%A Harold Szu
%J IEEE Computer Society Conference on Computer Vision and Pattern
Recognition
%C Washington, D.C.
%P 522-530
%D 1983
%K image
%T Invariant Pattern Recognition Using Multiple Filter Image
Representations
%A Christoph Zetzsche
%A Terry Caelli
%J Computer Vision, Graphics, and Image Processing
%V 45
%P 251-262
%D 1989
%K image
%T An Image Processing Architecture for Real Time Generation of Scale
and Rotation Invariant Patterns
%A Richard A. Messner
%A Harold H. Szu
%J Computer Vision, Graphics, and Image Processing
%V 31
%P 50-66
%D 1985
%K image
%T Rotation Invariant Pattern Recognition Using Zernike Moments
%A Alireza Khotanzad
%A Yaw Hua Hong
%J 9th Int. Conf. on Pattern Recognition
%I IEEE
%V I
%P 326-328
%K image processing, othogonal functions
%D 1988
----------------------------------------------------------------------------
. . .__. The opinions expressed herein are soley
|\./| !__! Michael Plonski those of the author and do not represent
| | | "plonski@aero.org" those of The Aerospace Corporation.
_______________________________________________________________________________
------------------------------
Subject: Re: Translation-Invariant Pattern Recognizer NN's
From: debbiec@hprmokg.HP.COM (Debbie Clingingsmith)
Organization: HP Networked Computer Mfg. Operation
Date: 20 Feb 90 21:40:27 +0000
Dr. Widrow gave a presentation at the 1989 WESCON in S.F. He
presented his original 1960 paper where ADALINE and Madaline were
described (first time in WESCON history where a paper was presented
twice). Anyway, the paper was reprinted in the conference proceedings.
Hope this helps.
Debbie Clingingsmith Telnet: 1-785-5226
NCMO - North Outside: (916) 785-5226
Hewlett-Packard Internet: debbiec%hprmokg@hplabs.hp.com
8000 Foothills Blvd.
Roseville, Ca. 95678
------------------------------
Subject: Edelman
From: Stephen Smoliar <smoliar@vaxa.isi.edu>
Date: Mon, 26 Feb 90 13:06:17 -0800
Patrick Thomas' suggestion to look at Gerald Edelman's new book, THE
REMEMBERED PRESENT, may very well be a good one. I am about half way
through the book and find it fascinating reading. [Unfortunately, Peter,
I have accepted a commitment to review it for ARTIFICIAL INTELLIGENCE; so
I'm not sure if I shall be able to provide you with a review as well.]
However, my personal feeling is that anyone who tries to use this as a
first exposure to Edelman's work will find it rather rough going. The
book is the third volume of a trilogy, having been preceded by NEURAL
DARWINISM and TOPOBIOLOGY.
I think that anyone who is interested in "real" brains would do well to
start with NEURAL DARWINISM. I shall now allow myself a shameless plug
and recommend the review of wrote of this book for ARTIFICIAL
INTELLIGENCE which appeared in Volume 39, Number 1 (May 1989). I like to
think that I have written an essay which will "prime" any reader
interested in artificial intelligence for an approach to Edelman's way of
thinking. Also, I organized a panel at the 1989 IJCAI for members of the
AI community to respond to Edelman (who had given an invited talk). The
position papers for this panel were published in the conference
proceedings (pages 1669-1671). As far as the middle volume of the
trilogy is concerned, I must confess that I skipped over TOPOBIOLOGY, not
for lack of interest but for lack of time.
[[ Editor's Note: Thanks, Stephen. Perhaps someone else could give a
short synopsis, without any copyright infringement. -PM ]]
------------------------------
Subject: 3rd Intn'l Symposium on AI (Mexico)
From: "Centro de Inteligencia Artificial(ITESM)" <ISAI@TECMTYVM.MTY.ITESM.MX>
Organization: Instituto Tecnologico y de Estudios Superiores de Monterrey
Date: Mon, 19 Feb 90 17:18:12 -0400
To whom it may concern:
We are sending you here the information concerning
the "Third International Symposium on Artificial Intelligence".
Please display it in your bulletin board.
THANK YOU VERY MUCH IN ADVANCE.
Sincerely,
The Symposium Publicity Committee.
THIRD INTERNATIONAL SYMPOSIUM ON
ARTIFICIAL INTELLIGENCE:
APPLICATIONS OF ENGINEERING DESIGN & MANUFACTURING IN
INDUSTRIALIZED AND DEVELOPING COUNTRIES
OCTOBER 22-26, 1990
ITESM, MEXICO
The Third International Symposium on Artificial Intelligence will
be held in Monterrey, N.L. Mexico on October 22-26, 1990.
The Symposium is sponsored by the ITESM (Instituto Tecnologico y
de Estudios Superiores De Monterrey) in cooperation with the
International Joint Conferences on Artificial Intelligence Inc.,
the American Association for Artificial Intelligence, the Sociedad
Mexicana de Inteligencia Artificial and IBM of Mexico.
OBJETIVES:
* Promote the development and use of AI technology in the
solution of real world problems in the application areas of
engineering design & manufacturing.
* Analize the state-of-the-art of AI technology in different
countries and its potencial use and transfer from universities
and research institutions to industries for the solution of
problems.
* Evaluate efforts made in the use of AI technology in all coutries.
Provide general guidelines for the use and spread of AI
technology in all countries, and assess them in the next annual
ISAI meeting.
ISAI FORMAT:
ISAI consists of a tutorial and a conference.
The tutorial is a set of seminars on relevant AI topics given in
two days (Oct. 22-23). The conference is a set of lectures given
during three days (Oct. 24-26). It consists of invited papers and
selected papers from the "Call for Papers" invitation.
Areas of application include:
* Production planning * resource management, * quality management,
* automated assembly, * machine loads, * inventory control,
* computer aided product design, *computer aided product manufacturing
* human resources management, * forecasting, *client/customer support,
* process control and ES, * automatic process inspection, * use of
industrial robots, * market and competition analysis, * strategic
planning of manufacturing, * technology management and social impact
of AI technology in industrial environments.
AI techniques include:
* Knowledge acquisition and representation, * natural language
processing, * robotics , * speech recognition, * computer vision,
* neural networks and genetic algorithms, * parallel architectures,
* automated learning, * automated reasoning, * search and problem
solving, * knowledge engineering tools and methodologies,
* uncertainty management and AI programming languages.
IMPORTANT:
In order to encourage an atmosphere of friendship and exchange
among participants, some social events are being organized.
For your convinience we have arranged a free shuttle bus
service between the hotel zone and the ITESM during the three
day conference.
FEES: (VALID BEFORE AUGUST 31)
Tutorial.-
Professionals $ 250 USD
Students $ 125 USD
Conference.-
Professionals $ 180 USD
Students $ 90 USD
Simultaneous Translation
FORMAL DINNER-INCLUDES DINNER, OPEN BAR, MUSIC-(OCT 26)
TUTORIAL FEE INCLUDES:
Tutorial material.
Welcoming cocktail party (Oct.22)
CONFERENCE FEE INCLUDES:
Proceedings.
WELCOMING COCKTAIL PARTY (OCT.24)
COCKTAIL PARTY. (OCT.25)
REGISTRATION PROCEDURE:
Send personal check payable to "I.T.E.S.M." to:
"Centro de Inteligencia Artificial,
Attention: Leticia Rodriguez,
Sucursal de Correos "J", C.P. 64849,
Monterrey, N.L. Mexico"
INFORMATION:
CENTRO DE INTELIGENCIA ARTIFICIAL, ITESM.
SUC. DE CORREOS "J", C.P. 64849 MONTERREY, N.L. MEXICO.
TEL (52-83) 58-20-00 EXT.5132 or 5143.
TELEFAX (52-83) 58-07-71, (52-83) 58-89-31,
NET ADDRESS:
ISAI AT TECMTYVM.BITNET
ISAI AT TECMTYVM.MTY.ITESM.MX
GENERAL CHAIR:
FRANCISCO J. CANTU-ORTIZ, ITESM, MEXICO
ADVISORY BOARD:
SAUL AMAREL, RUTGERS UNIVERSITY, USA
WOODROW BLEDSOE, U. OF TEXAS AT AUSTIN, USA
RANDOLPH GOEBEL, UNIVERSITY OF ALBERTA, CANADA
ADOLFO GUZMAN, INTERNATIONAL SOFTWARE SYSTEMS, USA
RAJ REDDY, CARNEGIE MELLON UNIVERSITY, USA
DONALD WALKER, BELLCORE, USA
PROGRAM CHAIRS:
JOSE LUIS AGUIRRE, ITESM, MEXICO
ROCIO GUILLEN, ITESM, MEXICO
HUGO TERASHIMA, ITESM, MEXICO
PROGRAM COMMITTEE:
RENE BANARES, UNAM, MEXICO
RAMON BRENA, ITESM, MEXICO
OFELIA CERVANTES, U.AMERICAS, MEXICO
FRANCISCO CERVANTES, UNAM, MEXICO
JOHN DEBENHAM, U.TECHNOLOGY, SIDNEY AUSTRALIA
GERHARD FISCHER, UNIVERSITY OF COLORADO, USA
MARK FOX, CARNEGIE MELLON UNIVERSITY, USA
DAVID FULLER, U.CATOLICA DE CHILE
EUGENIO GARCIA, ITESM, MEXICO
JOSE LUIS GONZALEZ, ITESM, MEXICO
IGNACIO GROSSMAN, CARNEGIE MELLON UNIVERSITY
STEFFEN HOELDOBLER, TECHNISCHE HOCHSCHULE DARMSTADT, FRG
HEINZ ULRICH HOPPE, GMD-IPSI, GERMANY
S.LAKSHMIVARAHAN, UNIVERSITY OF OKLAHOMA, USA
FERNANDO LARA, ITESO, MEXICO
CHRISTIAN LEMAITRE, UNAM, MEXICO
LORI LEVIN, CARNEGIE MELLON UNIVERSITY
JAY LIEBOWITZ, GEORGE WASHINGTON UNIVERSITY, USA
RAMON LOPEZ-MANTARAS, BLANES, SPAIN
GUILLERMO MORALES, I.POLITECNICO NACIONAL, MEXICO
JUDEA PEARL, UCLA, USA
JORGE PHILLIPS, STANFORD UNIVERSITY, USA
S.RAMANI, NATIONAL CENTRE FOR SOFTWARE TECH, INDIA
FRANCOIS RECHENMANN, INRIA, GRENOBLE, FRANCE
DANIEL REHAK, CARNEGIE MELLON UNIVERSITY, USA
RICHARD STERN, CARNEGIE MELLON UNIVERSITY, USA
SAROSH TALUKDAR, CARNEGIE MELLON UNIVERSITY, USA
MASARU TOMITA, CARNEGIE MELLON UNIVERSITY, USA
JOHN TRUJILLO, EAFIT, COLOMBIA
MANUEL VALENZUELA, ITESM, MEXICO
CARLOS ZOZAYA, CONDUMEX, MEXICO
Publicity and Tutorial Chair:
MORAIMA CAMPBELL, ITESM, MEXICO
Local Arrangement Chair:
LETICIA RODRIGUEZ, ITESM, MEXICO
Exhibits Chair:
LUCILA PENA, ITESM, MEXICO
------------------------------
Subject: Neocognitron (revised) Code
From: pasteur!helios.ee.lbl.gov!ncis.tis.llnl.gov!blackbird!efrethei
(Erik J. Fretheim)
Organization: Air Force Institute of Technology; WPAFB, OH
Date: 16 Feb 90 14:42:45 +0000
I am interested in doing some experiments using a neocognitron in the
revised (1988 or so) version. Does anyone have a PD version up and
running which they would be willing to share, or pointers which they
would be willing to provide. I hate recoding the wheel (net). Thank
you.
Erik Fretheim
efrethei@afit.af.mil
AFIT/ENA Box 4151
WPAFB, OH 45431 USA
(513)255-5276
------------------------------
Subject: NEW JOURNAL: MINDS & MACHINES
From: rapaport@cs.Buffalo.EDU
Organization: SUNY/Buffalo Computer Science
Date: 02 Feb 90 18:42:17 +0000
========================================================================
CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS
========================================================================
Kluwer Academic Publishers announces
MINDS AND MACHINES
Journal for Artificial Intelligence, Philosophy, and Cognitive Science
ISSN 0924-6495
(previously announced as `Philosophy and Artificial Intelligence')
EDITORIAL FOCUS:
Machines and Mentality
Knowledge and its Representation
Epistemic Aspects of Computer Programming
Connectionist Conceptions
Artificial Intelligence and Epistemology
Computer Methodology
Computational Approaches to Philosophical Issues
Philosophy of Computer Science
Simulation and Modeling
Ethical Aspects of Artificial Intelligence
EDITOR:
James H. Fetzer, University of Minnesota, Duluth, MN, USA
BOOK REVIEW EDITOR:
William J. Rapaport, SUNY Buffalo, Buffalo, NY, USA
EDITORIAL BOARD (as of January 1990)
Jon Barwise Stanford University, USA
Andy Clark University of Sussex, UK
Robert Cummins University of Arizona, USA
Fred Dretske University of Wisconsin at Madison, USA
Jerry Fodor Rutgers University, USA
Clark Glymour Carnegie-Mellon University, USA
John Haugeland University of Pittsburgh, USA
Jaakko Hintikka Florida State University, USA
David Israel SRI International, USA
Frank Keil Cornell University, USA
Henry Kyburg University of Rochester, USA
John McCarthy Stanford University, USA
Donald Nute University of Georgia, USA
Zenon Pylyshyn University of Western Ontario, Canada
Barry Richards Imperial College, London, UK
Roger C. Schank Northwestern University, USA
John Searle University of California at Berkeley, USA
Stephen Stich Rutgers University, USA
Terry Winograd Stanford University, USA
MINDS AND MACHINES affords an international forum for discussion and
debate of important and controversial issues concerning significant
developments within its areas of editorial focus. Well-reasoned
contributions from diverse theoretical perspectives are welcome, and
every effort will be made to insure their prompt publication. Among the
features that are intended to make this journal distinctive within the
field are these:
o Strong stands on controversial issues are specifically encouraged;
o Important articles exceeding normal journal length may appear;
o Special issues devoted to specific topics will be a regular feature;
o Review essays discussing current problem situations will appear;
o Critical responses to previously published pieces are also invited.
This journal is intended to foster a tradition of criticism within the
AI and philosophical communities on problems and issues of common
concern. Its scope explicitly encompasses philosophical aspects of
computer science. All submissions will be subject to review.
Publication will begin with a single volume of four issues per year.
The first issue will appear in January 1991.
Contributors should send 4 copies of their manuscript to:
James H. Fetzer, Editor
MINDS AND MACHINES
Department of Philosophy
University of Minnesota
Duluth, MN 55812
USA
phil@ub.d.umn.edu
AI_and_PHIL@ub.d.umn.edu
Correspondence concerning books for review should be sent to:
William J. Rapaport, Book Review Editor
MINDS AND MACHINES
Center for Cognitive Science
Department of Computer Science
SUNY Buffalo
Buffalo, NY 14260
USA
rapaport@cs.buffalo.edu
rapaport@sunybcs.bitnet
Subscription information and sample copies will be available from:
Kluwer Academic Publishers Group
P.O. Box 322
3300 AH Dordrecht
The Netherlands
or
Kluwer Academic Publishers
101 Philip Drive
Norwell, MA 02061
USA
========================================================================
CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS---CALL FOR PAPERS
========================================================================
------------------------------
End of Neuron Digest [Volume 6 Issue 17]
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