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IJCAI-95 Workshop on
Adaptation and Learning in Multiagent Systems
August 21, 1995


Organizing committee members:


SCHEDULE OF PRESENTATIONS

(Most oral presentations 20 minutes: 15 minutes talk, 5 minutes Q&A)

8:30 Introductory Remarks (10 minutes)

SESSION I

8:40 David Carmel and Shaul Markovitch,
"Opponent Modeling in Multi-Agent System"
9:00 Thomas Haynes and Sandip Sen,
"Evolving Behavioral Strategies in Predators and Prey"
9:20 Claudia V. Goldman and Jeffrey S. Rosenschein,
"Mutually Supervised Learning in Multiagent Systems"
9:40 Panel Discussion (25 minutes)

10:05 Coffee Break (30 minutes)

SESSION II

10:35 Ciara Byrne and Peter Edwards,
"Refinement in a Multi-Agent World"
10:55 M V Nagendraprasad, Victor Lesser, and Susan Lander,
"Learning Experiments in a Heterogeneous Multi-Agent System"
11:15 Sandip Sen and Mahendra Sekaran,
"Using Reciprocity to adapt to others"
11:35 Panel Discussion (25 minutes)
12:00 LUNCH (90 minutes)

SESSION III

1:30 Larry Glicoes, Rich Staats, and Michael Huhns,
"A Multi-Agent Environment for Department of Defense Distribution"

1:55 POSTER SESSION
  • Pan Gu and Anthony B. Maddox,
    "A Framework for Distributed Reinforcement Learning"
  • Anupam Joshi,
    "To learn or not to learn"
  • Britta Lenzmann and Ipke Wachsmuth,
    "A User-Adaptive Interface Agency for Interaction with a Virtual Environment"
  • Yishay Mor, Claudia V. Goldman, and Jeffrey S. Rosenschein,
    "Learn Your Opponent's Strategy (in Polynomial Time)!"
  • Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai,
    "Learning to Reduce Communication Cost on Task Negotiation among
    Multiple Autonomous Mobile Robots"

  • Andreas Schaerf, Yoav Shoham, and Moshe Tennenholtz,
    "Adaptive Load Balancing: a study in co-learning"

  • SESSION IV

    3:10 Sandip Sen and Mahendra Sekaran,
    "Multiagent coordination with learning classifier systems"

    3:30 Coffee Break (30 minutes)
    4:00 Tuomas Sandholm and Robert H. Crites,
    "On Multiagent Q-Learning in a Semi-competitive Domain"
    4:20 Maja Mataric,
    "Learning in Multi-Robot Systems"
    4:40 Panel Discussion (25 minutes)
    5:05 Concluding Remarks (10 minutes)
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