Satisficing coalition formation among agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
A multi-agent method for forming and dynamic restructuring of pareto optimal coalitions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Non-cooperative dynamics of multi-agent teams
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Analysis of Norms Game with Mutual Choice
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
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In this research, we propose some group dynamics that promote cooperative behavior in systems with social dilemmas and hence enhances their performance. If cooperative behavior among self-interest individuals is established, effective distribution of resources and useful allocation of tasks based on coalition formation can be realized. In order to realize these group dynamics, we extend the partner choice mechanisms for 2-IPD to that for N-person Dilemma game. Furthermore, we propose group split based on metanorm as a new group dynamic. A series of evolutionary simulations confirm that this group dynamic: i) establishes and maintains cooperation, and ii) enhances the performance of the systems consisting of self-interest players in Social Dilemmas situations.