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- W4384207870 abstract "We use assortativity in linking and learning by studying social dilemmas on a dynamic network, where assortativity in linking runs faster than assortativity in learning, so that both can work together. The emergence of cooperation is based on the structured heterogeneity of a network, which includes heterogeneous interactions and a heterogeneous population structure made by assortativity. In an infinite population, cooperation is more likely to happen in the Snowdrift game when there is heterogeneous interaction, in the Stag-hunt game when there is heterogeneous population structure, and in the Prisoner’s Dilemma game when there are two different kinds of settings. In a finite population size, the heterogenous interaction plays an important role in emergence of cooperation in all dilemmas." @default.
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- W4384207870 date "2023-11-01" @default.
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- W4384207870 title "Structured heterogeneity of network in evolutionary social dilemmas under assortative linking and learning" @default.
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- W4384207870 doi "https://doi.org/10.1016/j.physd.2023.133846" @default.
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