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Coordination Games on Dynamical Networks

  • 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)

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    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.

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    Article provided by MDPI, Open Access Journal in its journal Games.

    Volume (Year): 1 (2010)
    Issue (Month): 3 (July)
    Pages: 242-261

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    Handle: RePEc:gam:jgames:v:1:y:2010:i:3:p:242-261:d:9125
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