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Learning and coordinating in a multilayer network

Haydée Lugo and Maxi San Miguel ()
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Maxi San Miguel: IFISC (CSIC-UIB), Campus Universitat de les Illes Balears, 07122 Palma de Mallorca, Spain

No 2014-30, Documentos de Trabajo del ICAE from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico

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.

Keywords: Doubt-based decisions; Coordination games; Multilayer network. (search for similar items in EconPapers)
JEL-codes: C63 D69 D79 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2014
New Economics Papers: this item is included in nep-cdm, nep-gth and nep-net
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