Learning and coordinating in a multilayer network



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Lugo, Haydeé and San Miguel, Maxi (2015) Learning and coordinating in a multilayer network. Scientific reports, 5 . pp. 1-7. ISSN 2045-2322

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Official URL: https://doi.org/10.1038/srep07776


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.

Item Type:Article
Uncontrolled Keywords:Computer simulation; Game theory; Humans; Learning; Theoretical models; Social support; Time factors
Subjects:Sciences > Statistics > Game theory
Social sciences > Economics > Econometrics
Humanities > Education > Learning
ID Code:60273
Deposited On:30 Apr 2020 10:31
Last Modified:30 Apr 2020 10:31

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