Methods for task allocation via agent coalition formation
Artificial Intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Negotiation coalitions in group-choice multi-agent systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Towards Agent-Based Coalition Formation for Service Composition
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Sequentially optimal repeated coalition formation under uncertainty
Autonomous Agents and Multi-Agent Systems
Large-scale cooperative task distribution on peer-to-peer networks
Web Intelligence and Agent Systems
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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.