Abstract:
:We explore the evolutionary dynamics of two games-the Prisoner's Dilemma and the Snowdrift Game-played within distinct networks (layers) of interdependent networks. In these networks imitation and interaction between individuals of opposite layers is established through interlinks. We explore an update rule in which revision of strategies is a biased imitation process: individuals imitate neighbors from the same layer with probability p, and neighbors from the second layer with complementary probability 1 - p. We demonstrate that a small decrease of p from p = 1 (which corresponds to forbidding strategy transfer between layers) is sufficient to promote cooperation in the Prisoner's Dilemma subpopulation. This, on the other hand, is detrimental for cooperation in the Snowdrift Game subpopulation. We provide results of extensive computer simulations for the case in which layers are modelled as regular random networks, and support this study with analytical results for coupled well-mixed populations.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Santos MD,Dorogovtsev SN,Mendes JFdoi
10.1038/srep04436subject
Has Abstractpub_date
2014-03-24 00:00:00pages
4436issn
2045-2322pii
srep04436journal_volume
4pub_type
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