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Título

Learning and coordinating in a multilayer network

AutorLugo, Haydée; San Miguel, Maxi
Fecha de publicación14-ene-2015
EditorNature Publishing Group
CitaciónScientific Reports 5: 7776 (2015)
ResumenWe 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.
Versión del editorhttp://dx.doi.org/10.1038/srep07776
URIhttp://hdl.handle.net/10261/133465
DOI10.1038/srep07776
Identificadoresissn: 2045-2322
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