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Adapting Agent’s Interactions in Dynamic Contexts

This study presents a novel solution to agent coalition formation. It focuses on heterogeneous, distributed multiagent systems deployed in real-world environments. Speci?cally, we study dynamic, uncertain environments in which tasks may evolve during execution, and agents and resource availability may vary rapidly and unpredictably. We refer to cases in which agent collaboration is needed for ef?cient task execution, i.e., stable coalition formation is required. In our context, dynamics and uncertainty prohibit computation of coalition stability ahead of task execution. We nevertheless, seek stable, ef?cient and decentralizedcoalitionformation.Combiningmethodsfromgame theory, Markov decision processes and probability, we introduce an autostabilizing, core stable, coalition formation mechanism. The mechanism arrives at stability, maximizes social welfare, and converges gradually to required coalitions.

Auteur(s) : Pascal Francois Faye, Samir Aknine, Onn Shehory, and Mbaye Sene
Pages : pp.152 à 159
Année de publication : 2014
Revue : Springer International Publishing Switzerland
Type : Article
Mise en ligne par : SENE Mbaye