Abstract
Coalition formation is a fundamental problem in the organization of many multi-agent systems. In large populations, the formation of coalitions is often restricted by structural visibility and locality constraints under which agents can reorganize. We capture and study this aspect using a novel network-based model for dynamic locality within the popular framework of hedonic coalition formation games. We analyze the effects of network-based visibility and structure on the convergence of coalition formation processes to stable states. Our main result is a tight characterization of the structures based on which dynamic coalition formation can stabilize quickly. Maybe surprisingly, polynomial-time convergence can be achieved if and only if coalition formation is based on complete or star graphs.
Cite
CITATION STYLE
Hoefer, M., Vaz, D., & Wagner, L. (2015). Hedonic coalition formation in networks. In Proceedings of the National Conference on Artificial Intelligence (Vol. 2, pp. 929–935). AI Access Foundation. https://doi.org/10.1609/aaai.v29i1.9305
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