Learning and coordinating in a multilayer network

Lugo, Haydee; San Miguel, Maxi
Scientific Reports 5, 7776 (2015)

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 payoff, 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.


This web uses cookies for data collection with a statistical purpose. If you continue browsing, it means acceptance of the installation of the same.


More info I agree