Adaptation, Coevolution, and Learning in Multiagent Systems
Papers from the 1996 AAAI Spring Symposium
Sandip Sen, Program Chair
Technical Report SS-96-01. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Resolving Social Dilemmas Using Genetic Algorithms / 1
Neeraj Arora and Sandip Sen
The Potential for the Evolution of Cooperation Among Web Agents / 6
Cristina Bichhieri, Martha E. Pollack and Carlo Rovelli
Towards A Self-Organizational Approach for a Parallel Computation in a Distributed Production Rule Based System / 12
Jacques Bonneville and Salima Hassas
Negotiating Agents That Learn About Others’ Preferences / 16
Hung Hai Bui, D. Kieronska, and S. Venkatesh
Evolutionary Computing in Cooperative Multiagent Environments / 22
Lawrence Bull and Terence C. Fogarty
Multiagent Learning and Adaptation in an Information Filtering Market / 28
Innes A. Ferguson and Grigoris J. Karakoulas
Multiagent Learning Through Collective Memory / 33
Andrew Garland and Richard Alterman
Learning to Design Together / 39
Dan L. Grecu and David C. Brown
Methods for Competitive and Cooperative Co-Evolution / 45
John Grefenstette and Robert Daley
Learning Cases to Compliment Rules for Conflict Resolution in Multiagent Systems / 51
Thomas Haynes, Kit Lau, and Sandip Sen
Multiagent Systems: Lessons From Social Insects and Collective Robotics / 57
Owen E. Holland
Learning of Cooperative Actions In Multiagent Systems: A Case Study of Pass Play In Soccer / 63
Hitoshi Matsubara, Itsuki Noda, and Kazuo Hiraki
Learning Situation-Specific Coordination in Generalized Partial Global Planning / 68
M. V. Nagendra Prasad and Victor Lesser
Learning Organizational Roles in a Heterogeneous Multiagent System / 72
M. V. Nagendraprasad, Victor Lesser, and Susan Lander
Effects of Local Information on Group Behavior / 78
Shounak Roychowdhury, Neeraj Arora, and Sandip Sen
A General Method For Multi-Agent Reinforcement Learning In Unrestricted Environments / 86
Jurgen Schmidhuber
Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer / 88
Peter Stone and Manuela Veloso
Adaptive Agent Tracking in Real-World Multiagent Domains: A Preliminary Report / 93
Milind Tambe, Levis Johnson and Wei-Min Shen
Bayesian Learning in Negotiation / 99
Dajun Zeng and Katia Sycara
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