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Organization-Based Coalition Formation

Published: 19 July 2004 Publication History

Abstract

The coalition formation problem has received a considerable amount of attention in recent years. In this work we present a novel distributed algorithm that returns a solution in polynomial time and the quality of the returned solution increases as agents gain more experience. Our solution utilizes an underlying organization to guide the coalition formation process. We use reinforcement learning techniques to optimize decisions made locally by agents in the organization. Experimental results are presented, showing the potential of our approach.

References

[1]
{1} S. Abdallah and V. Lesser. Organization-based coalition formation. Technical report, UMASS, 2004.
[2]
{2} T. Sandholm and et al. Coalition structure generation with worst case guarantee. Proceedings of the 3rd Internation Conference on Autonomous Agents, 1999.
[3]
{3} O. Shehory. Methods for task allocation via agent coalition formation. Artificial Intelligence Journal, 101(1-2):165-200, 1998.
[4]
{4} R. Sutton and A. Barto. Reinforcment Learning: An Introduction . MIT Press, 1999.

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cover image ACM Conferences
AAMAS '04: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
July 2004
487 pages
ISBN:1581138644

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IEEE Computer Society

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Published: 19 July 2004

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