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
Dynamic Coalition Formation among Rational Agents
IEEE Intelligent Systems
Coalition formation with uncertain heterogeneous information
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Agent Heterogeneity and Coalition Formation: Investigating Market-Based Cooperative Problem Solving
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Modelling Coalition Formation over Time for Iterative Coalition Games
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Exploring Social Networks in Request for Proposal Dynamic Coalition Formation Problems
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Service coalitions for future internet services
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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This paper focuses on the Coalition Formation paradigm as a market mechanism. Concretely, Coalition Formation occurs as part of a wider open world and may occur many times during the lifetime of a population of agents. This fact can in some circumstances be exploited by agents to re-use existing partial coalition and social relationships over time to improve Coalition Formation efficiency. The aim of the work is to analyze the dynamics of two concrete rational behaviors (Competitive and Conservative strategies) and, in particular, to investigate how agents in a heterogeneous population cluster together across multiple Coalition Formation episodes and varying tasks. Preliminary resuls are also shown regarding the manner in which playing distinct strategies interact with one another.