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Coordination Games on Dynamical Networks

Author

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  • Marco Tomassini

    (Information Systems Institute, Faculty of Business and Economics, University of Lausanne, CH-1015 Lausanne, Switzerland)

  • Enea Pestelacci

    (Information Systems Institute, Faculty of Business and Economics, University of Lausanne, CH-1015 Lausanne, Switzerland)

Abstract

We propose a model in which agents of a population interacting according to a network of contacts play games of coordination with each other and can also dynamically break and redirect links to neighbors if they are unsatisfied. As a result, there is co-evolution of strategies in the population and of the graph that represents the network of contacts. We apply the model to the class of pure and general coordination games. For pure coordination games, the networks co-evolve towards the polarization of different strategies. In the case of general coordination games our results show that the possibility of refusing neighbors and choosing different partners increases the success rate of the Pareto-dominant equilibrium.

Suggested Citation

  • Marco Tomassini & Enea Pestelacci, 2010. "Coordination Games on Dynamical Networks," Games, MDPI, vol. 1(3), pages 1-20, July.
    • Handle: RePEc:gam:jgames:v:1:y:2010:i:3:p:242-261:d:9125
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    References listed on IDEAS

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    1. Vega-Redondo,Fernando, 2003. "Economics and the Theory of Games," Cambridge Books, Cambridge University Press, number 9780521775908.
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    Cited by:

    1. Adam Lee Miles & Matteo Cavaliere, 2021. "Opinion Diversity and the Resilience of Cooperation in Dynamical Networks," Mathematics, MDPI, vol. 9(15), pages 1-18, July.
    2. Aloys Prinz, 2017. "Rankings as coordination games: the Dutch Top 2000 pop song ranking," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 379-401, November.
    3. Simon Weidenholzer, 2010. "Coordination Games and Local Interactions: A Survey of the Game Theoretic Literature," Games, MDPI, vol. 1(4), pages 1-35, November.
    4. Haydée Lugo & Maxi San Miguel, 2014. "Learning and coordinating in a multilayer network," Documentos de Trabajo del ICAE 2014-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

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