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two calls for the Adaptive Behavior journal
``` Date: Fri, 27 Oct 1995 16:00:16 +0100 From: mdorigo@ulb.ac.be (Marco DORIGO) Subject: CFP - ADAPTIVE BEHAVIOR Journal
CALL FOR PAPERS (http://iridia.ulb.ac.be/dorigo/ABSI/CFP.html)
ADAPTIVE BEHAVIOR Journal
Special Issue on COLLECTIVE INTELLIGENCE
Guest editors: Jean-Louis Deneubourg, Marco Dorigo
Submission Deadline: June 1, 1996.
Adaptive Behavior is an international journal published by MIT Press; Editor-in-Chief: Jean-Arcady Meyer, Ecole Normale Superieure, Paris.
For this special issue we invite unpublished papers on theoretical or applied research on collective intelligence.
Collective intelligence is a property which can be shown by collections of agents which communicate directly or indirectly (by changing some common environment) with each other and which collectively solve problems. Collective intelligence is also sometimes referred to as swarm intelligence.
Collective intelligence is a property that can be found in both natural and artificial systems. Authors are therefore encouraged to emphasize the relevance of their research to both natural and artificial systems.
Relevant topics for this special issue include (suggestions for further topics are welcome):- Collective robotics, cellular robotic systems, etc.- Distributed problem solving in social insect colonies- Artificial ecologies- Applications to optimization problems
Authors intending to submit a manuscript MUST contact the guest editors as soon as possible, and in any case not later than February 15, 1996, to discuss paper ideas and suitability for this issue. Use mdorigo@ulb.ac.be or tel: +32-2-650-3169 or fax: +32-2-650-2715.
Submitted papers should be delivered by June 1, 1996. Manuscripts should be typed or laser-printed in English (with American spelling preferred) and double-spaced. Both paper and electronic submission are possible, as described below.
Copies of the complete Adaptive Behavior Instructions to Contributors are available on request--also see the Adaptive Behavior journal's home page at http://www.ens.fr:80/bioinfo/www/francais/AB.html
For paper submissions, send five (5) copies of submitted papers (hard-copy only) to:
Marco Dorigo IRIDIA - CP 194/6 Universite' Libre de Bruxelles Avenue Franklin Roosevelt 50 1050 Bruxelles, Belgium [tel. +32-2-6503169 fax +32-2-6502715 mdorigo@ulb.ac.be http://iridia.ulb.ac.be/dorigo/dorigo.html ]
For electronic submissions, use Postscript format, ftp the file to iridia.ulb.ac.be/incoming/AB, and send an email notification to mdorigo@ulb.ac.be
Ftp detailed instructions:
compress your-paper (both Unix compress and gzip commands are ok) ftp iridia.ulb.ac.be (164.15.11.65) give anonymous as your login name give your e-mail address as password set transmission to binary (just type the command BINARY) cd to /incoming/AB put your-paper send me an email to let me know you transferred the paper
Date: Thu, 2 Nov 1995 10:25:19 -0500
From: Maja Mataric
CALL FOR PAPERS (http://www.cs.brandeis.edu:80/~maja/abj-special-issue/)
ADAPTIVE BEHAVIOR Journal
Special Issue on
COMPLETE AGENT LEARNING IN COMPLEX ENVIRONMENTS
Guest editors: Maja J Mataric
Submission Deadline: June 1, 1996.
Adaptive Behavior is an international journal published by MIT Press; Editor-in-Chief: Jean-Arcady Meyer, Ecole Normale Superieure, Paris.
In the last decade, the problems being treated in AI, Alife, and Robotics have witnessed an increase in complexity as the domains under investigation have transitioned from theoretically clean scenarios to more complex dynamic environments. Agents that must adapt in environments such as the physical world, an active ecology or economy, and the World Wide Web, challenge traditional assumptions and approaches to learning. As a consequence, novel methods for automated adaptation, action selection, and new behavior acquisition have become the focus of much research in the field.
This special issue of Adaptive Behavior will focus on situated agent learning in challenging environments that feature noise, uncertainty, and complex dynamics. We are soliciting papers describing finished work on autonomous learning and adaptation during the lifetime of a complete agent situated in a dynamic environment.
We encourage submissions that address several of the following topics within a whole agent learning system:- learning from ambiguous perceptual inputs- learning with noisy/uncertain action/motor outputs- learning from sparse, irregular, inconsistent, and noisy reinforcement/feedback- learning in real time- combining built-in and learned knowledge- learning in complex environments requiring generalization in state representation- learning from incremental and delayed feedback- learning in smoothly or discontinuously changing environments
We invite submissions from all areas in AI, Alife, and Robotics that treat either complete synthetic systems or models of biological adaptive systems situated in complex environments.
Submitted papers should be delivered by June 1, 1996. Authors intending to submit a manuscript should contact the guest editor as soon as possible to discuss paper ideas and suitability for this issue. Use maja@cs.brandeis.edu or tel: (617) 736-2708 or fax: (617) 736-2741. Manuscripts should be typed or laser-printed in English (with American spelling preferred) and double-spaced. Both paper and electronic submission are possible, as described below. Copies of the complete Adaptive Behavior Instructions to Contributors are available on request--also see the Adaptive Behavior journal's home page at: http://www.ens.fr:80/bioinfo/www/francais/AB.html.
For paper submissions, send five (5) copies of submitted papers (hard-copy only) to:
Maja Mataric Volen Center for Complex Systems Computer Science Department Brandeis University Waltham, MA 02254-9110, USA
For electronic submissions, use Postscript format, ftp the file to ftp.cs.brandeis.edu/incoming, and send an email notification to maja@cs.brandeis.edu.
For a Web page of this call, and detailed ftp directions, see: http://www.cs.brandeis.edu/~maja/abj-special-issue/
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