Artificial Multiagent Learning
Papers from the 2004 AAAI Fall Symposium
Sean Luke, Program Chair
Technical Report FS-04-02. 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
Preface / 97
Sean Luke
Adapting Network Structure for Efficient Team Formation / 1
Matthew E. Gaston, John Simmons, and Marie desJardins
Analyzing the Effects of Tags on Promoting Cooperation in Prisoner’s Dilemma / 9
Austin McDonald and Sandip Sen
Co-Evolving Team Capture Strategies for Dissimilar Robots / 15
H. Joseph Blumenthal and Gary B. Parker
Stochastic Direct Reinforcement: Application to Simple Games with Recurrence / 23
John Moody, Yufeng Liu, Matthew Saffell, and Kyoungju Youn
Dynamics of Strategy Distribution in Iterated Games / 35
Stéphane Airiau, Sabyasachi Saha, and Sandip Sen
Empirical Comparison of Incremental Learning Strategies for Genetic Programming-Based Keep-Away Soccer Agents / 43
William H. Hsu, Scott J. Harmon, Edwin Rodríguez, and Christopher A. Zhong
Learning e-Pareto Efficient Solutions with Minimal Knowledge Requirements using Satisficing / 52
Jacob W. Crandall and Michael A. Goodrich
Learning Payoff Functions in Infinite Games / 60
Yevgeniy Vorobeychik, Michael P. Wellman, and Satinder Singh
Learning TOMs: Towards Non-Myopic Equilibria / 66
Arjita Ghosh and Sandip Sen
Multi-Agent Learning in Conflicting Multi-Level Games with Incomplete Information / 73
Maarten Peeters, Katja Verbeeck, and Ann Nowé
Multi-Agent Learning in Mobilized Ad-Hoc Networks / 81
Yu-Han Chang, Tracy Ho, and Leslie Pack Kaelbling
On the Agenda(s) of Research on Multi-Agent Learning / 89
Yoav Shoham, Rob Powers, and Trond Grenager
Opportunities for Learning in Multi-Agent Meeting Scheduling / 96
Elisabeth Crawford and Manuela Veloso
Safe Strategies for Agent Modelling in Games / 103
Peter McCracken and Michael Bowling
Tags and the Evolution of Cooperation in Complex Environments / 111
Lee Spector, Jon Klein, and Chris Perry
Understanding Competitive Co-Evolutionary Dynamics via Fitness Landscapes / 118
Elena Popovici and Kenneth De Jong
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