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Learning and coordinating in a multilayer network

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Abstract

We introduce a two layer network model for social coordination incorporating two relevant ingredients: a) different networks of interaction to learn and to obtain a pay-off, and b) decision making processes based both on social and strategic motivations. Two populations of agents are distributed in two layers with intralayer learning processes and playing interlayer a coordination game. We find that the skepticism about the wisdom of crowd and the local connectivity are the driving forces to accomplish full coordination of the two populations, while polarized coordinated layers are only possible for all-to-all interactions. Local interactions also allow for full coordination in the socially efficient Pareto-dominant strategy in spite of being the riskier one.

Suggested Citation

  • 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.
    • Handle: RePEc:ucm:doicae:1430
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    More about this item

    Keywords

    Doubt-based decisions; Coordination games; Multilayer network.;
    All these keywords.

    JEL classification:

    • D69 - Microeconomics - - Welfare Economics - - - Other
    • D79 - Microeconomics - - Analysis of Collective Decision-Making - - - Other
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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