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Alife Digest Number 090
Alife Digest, Number 090
Monday, November 30th 1992
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~ Artificial Life Distribution List ~
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~ alife-request@cognet.ucla.edu ~
~ All software, tech reports to Alife depository through ~
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~ List maintainers: Liane Gabora and Rob Collins ~
~ Artificial Life Research Group, UCLA ~
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Today's Topics:
Calendar of Alife-related Events
HMC Symposium on Pattern Formation
"Creatures" Simulation Software for NeXT
New Book Available: Proceedings COGANN-92
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Date: Mon, 30 Nov 92 11:24:51 -0800
From: liane@CS.UCLA.EDU (Liane Gabora)
Subject: Calendar of Alife-related Events
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Neural Processing Information Systems (NIPS), Denver Nov 28-Dec 3, 1992 v73
Simulation of Adaptive Behavior, Honolulu, Hawaii Dec 7-11, 1992 v74
Conference on Complex Systems, Canberra Australia Dec 14-15, 1992 v84
International Conference on System Sciences, Hawaii Jan 5-8, 1993 v74
Symposium on Pattern Formation, Claremont California Feb 12-13, 1993 v90
Biol and Tech of Autonomous Agents, Trento Italy Mar 1-12, 1993 v88
Conf on Neural Networks, San Francisco CA Mar 28-Apr 1, 1993 v79
Conf on Fuzzy Systems, San Francisco CA Mar 28-Apr 1, 1993 v79
AI and Simulation of Behaviour Conf, Birmingham UK Mar 29-Apr 2, 1993 v75
Intnl Conf on Neural Nets and GAs, Innsbruck, Austria Apr 13-16, 1993 v80
BEAM Robot Olympics, Toronto Canada Apr 22-25, 1993 v81
European Conf on ALife, Brussels May 24-26, 1993 v82
Intnl Workshop Neural Networks, Barcelona Spain June 9-11, 1993 v76
Intelligent Systems for Molecular Biology, Washington July 7-9, 1993 v84
Fifth Intnl Conf on GAs, Urbana-Champaign IL July 17-22, 1993 v80
(Send announcements of other activities to alife@cognet.ucla.edu)
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Subject: HMC Symposium on Pattern Formation
Date: Tue, 24 Nov 92 15:42:01 PST
From: "Robert M. Keller" <keller@jarthur.Claremont.EDU>
SYMPOSIUM on PATTERN FORMATION
February 12-13, 1993
Harvey Mudd College
Claremont, California 91711
The symposium will provide a focus on pattern formation from
multidisciplinary vantage points, particularly on aspects of interest to
biologists, computer scientists, mathematicians, and physical scientists.
It will examine current questions in pattern formation within each of these
fields and also with cross-disciplinary perspectives. The area of pattern
formation includes formation of both natural and artificial cellular
organisms, formation of patterns on and within these organisms, and
space-time growth patterns. Of major concern is the formation of emergent
patterns through the actions and interactions of many semi-autonomous
units, none of which directs or has full knowledge of the overall process.
Topics of interest include, but are not limited to:
Cell growth Fractals Morphogenesis
Cellular automata Genetic algorithms Osmotic growth
Chaotic patterns Genetic patterns Percolation theory
Emergent computation L-systems Reaction-diffusion
Feature formation
Partial list of invited speakers and their topics
Richard Belew, University of California, San Diego
Interposing a model of development between neural networks and
genetic algorithms
Bruce Boghosian, Thinking Machines Inc.
Cellular automata fluids
Leah Edelstein-Keshet, University of British Columbia
Theories of pattern formation based on short and long-ranged interaction
Stephanie Forrest, University of New Mexico
Emergent computation in the immune system
Scott Fraser, Caltech
Patterning of the developing brain
John Gerhart, University of California, Berkeley
Rob Shaw, MacArthur Fellow
Transitions to turbulence in a reaction-diffusion system
David Soll, University of Iowa
Rhythmic behavior of cells in chemotactic waves during
dicytostelium aggregation
Requests for participation
Requests for participation by researchers, faculty, and students should be
directed to one of the organizing committee listed below. Applicants
should state briefly why they desire to participate and indicate the nature
of their contribution, if any. The number of participants may be limited
due to physical constraints. Contributed papers are welcome and it is
anticipated that a proceedings will be published. The final selection of
papers will be made by the organizing committee in consultation with the
advisory board. A registration fee of $75 U.S. will be charged to defray
costs. The fee will include two lunches and one dinner at the conference
site. Student participation is encouraged and it is expected that some
scholarships will be available.
Organizing committee
T.J. Mueller, Biology (chair) mueller@hmcvax.claremont.edu, 909-621-8561
Robert Keller, Computer Science keller@jarthur.claremont.edu, 909-621-8483
Robert Borrelli, Mathematics borrelli@hmcvax.claremont.edu, 909-621-8023
Stavros Busenberg, Mathematics busenberg@hmcvax.claremont.edu, 909-621-8023
Harvey Mudd College
Claremont, CA 91711
Symposium advisory board
Leah Edelstein-Keshet, University of British Columbia
Scott Fraser, Caltech
David Goldberg, University of Illinois
J.D. Murray, University of Washington
Clifford Pickover, IBM Watson Research Center
------------------------------
Date: Wed, 25 Nov 92 13:41:56 +0000 (GMT)
From: "I Stephenson" <ian@ohm.york.ac.uk>
Subject: "Creatures" Simulation Software for NeXT
I've recently placed copies of "Cinc", the NeXTStep implementation of
my parallel agent based modeling system "Creatures" on the
sonata.cc.purdue.edu (pub/next/submissions/CincDist.tar.Z) and
ftp.cognet.ucla.edu (alife/public/CincDist.tar.Z) ftp sites .
The system is similar to other systems which model 2-D Turing
machines, but does so in a more fundamental fashion. No attempt is
made to include features such as GA or other tricks relevent to only
a few users. The "Creatures" project's aim is to develop a paradigm
of processing that may be used by modellers in the same way that CA
are recognised today. Clearly some problems will be more suited to
the model than others (emmergent behavior being particularly
appropriate), but the model has been developed in an application
independant manner. A programming environment is provided wich allows
the end user to program in the features they require (extended
neighborhoods, higher dimmensional and more densly connected
lattices, new graphical representations, new load and save formats),
without clouding the basic model.
This is a Beta-release of the software, and I'd be very interested to
get as much feedback as possible. Some support is available (further
examples, programming hints, MasPar/CM2 alpha releases etc) to anyone
interested in developing on the system.
I've included part of the README file - further instructions are
included in the package.
Ian Stephenson
Adaptive Systems Engineering
Dept of Electronics
University of York
England
-------------------------------------------------
Cinc - The NeXT Creatures Simulator
Cinc is an implementation of the Creatures processing model for the
NeXT. Creatures attempts to retain many of the attractive features of
CA while allowing dynamic systems to be studied more easily. This is
done by describing the active elements of a system, rather than the
space in which they live.
Consider a simple model of road traffic - on a CA we must describe
roads as either holding cars or not, then passing cars between them.
The negotiation to support this rapidly swamps any consideration of
what the CARS are doing. With Creatures we describe the cars - after
all everyone knows what a car does!
The net result of this is a simulation environment that allows
emergent behaviour to be studied easily, and models to be built
rapidly without a great deal of programming experience - just
describe what all the bits do, and what they do when they meet.
Once written and debugged on a NeXT, the same (or at least VERY
similar) code may be run on a CM-2(pretty fast) or a MasPar(very
fast). This allows you to test models when very large numbers of
elements are active.
Further details of Creatures may be ftp'd from shiraz.ohm.york.ac.uk.
------------------------------
Date: Wed, 25 Nov 92 14:43:28 EST
From: ds1@philabs.Philips.Com (Dave Schaffer)
Subject: New Book Available: Proceedings COGANN-92
Announcing the availability of a new book:
Proceedings COGANN-92 International Workshop on
Combinations of Genetic Algorithms and Neural Networks
Editors: L.D. Whitley and J.D. Schaffer
ISBN 0-8186-2787-5
Publisher: IEEE Computer Society Press
10662 Los Vaqueros Circle
P.O. Box 3014
Los Alamitos, CA 90720-1264
USA
Phone: 800-272-6657
(714) 821-4010 (FAX)
Price: $34.00 for members of IEEE or Computer Society
$68.00 for non-members
add $4.00 for shipping and handling.
CONTENTS
Preface
AUTHORS: J. David Schaffer, Darrell Whitley and Larry J. Eshelman
TITLE: Combinations of Genetic Algorithms and Neural Networks:
A Survey of the State of the Art
AUTHOR: John G. Elias
TITLE: Genetic Generation of Connection Patterns
for a Dynamic Artificial Neural Network.
AUTHOR: Frederic Gruau
TITLE: Genetic Synthesis of Boolean Neural Networks
with a Cell Rewriting Developmental Process
AUTHORS: Kristian Lindgren, Anders Nilsson, Mats Nordahl and Ingrid Rade
TITLE: Regular Language Inference Using Evolving Neural Networks.
AUTHORS: Dipankar Dasgupta and Douglas McGregor
TITLE: Designing Application-Specific Neural Networks
using the Structured Genetic Algorithm.
AUTHORS: Rajarshi Das and Darrell Whitley
TITLE: Genetic Sparse Distributed Memories.
AUTHOR: Peter J.B. Hancock
TITLE: Genetic Algorithms and Permutation Problems:
A Comparison of Recombination Operators for
Neural Net Structure Specification.
AUTHOR: Mitchell A. Potter
TITLE: A Genetic Cascade-Correlation Learning Algorithm.
AUTHORS: Nachimuthu Karunanithi, Rajarshi Das and Darrell Whitley
TITLE: Genetic Cascade Learning for Neural Networks.
AUTHOR: K. KrishnaKumar
TITLE: Immunized Neurocontrol--Concepts and Initial Results.
AUTHOR: Russell C. Eberhart
TITLE: The Role of Genetic Algorithms in Neural Network
Query-Based Learning and Explanation Facilities.
AUTHOR: Thomas P. Caudell
TITLE: Genetic Algorithms as a Tool for the Analysis of
Adaptive Resonance Theory Network Training Sets.
AUTHORS: C.N. Schizas, C.S. Pattichis and L.T. Middleton
TITLE: Neural Networks, Genetic Algorithms and K-Means Algorithm:
In Search of Data Classification.
AUTHORS: Zhichao Guo and Robert Uhrig
TITLE: Using Genetic Algorithms to Select Inputs for Neural Networks.
AUTHORS: Loke Soo Hsu and Zhi Biao Wu
TITLE: Input Pattern Encoding Though Generalized Adaptive Search.
AUTHORS: R. Shonkwiler and Kenyon R. Miller
TITLE: Genetic Algorithm/Neural Network Synergy
For Nonlinear Constrained Optimization Problems.
COGANN-92 Attendees
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End of ALife Digest
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