Stochastically Stable Equilibria for Evolutionary Snowdrift Games on Graphs

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Abstract

In this paper, we study two-player evolutionary snowdrift games on regular graphs and identify the stochastically stable equilibria for infinite populations. We consider four different update rules: birth-death(BD), death-birth(DB), imitation(IM) and pairwise comparison(PC). With the same values of cost and benefit of cooperation, we show that there is a unique stochastically stable equilibrium for evolutionary games on graphs. If the benefit-to-cost ratio is greater than 1.5, then the proportion of cooperators of a regular graph is higher than that of well-mixed population. And for BD and PC updating, the smaller graph degree can lead to more cooperators. Besides theoretical analysis, the results are also demonstrated by numerical simulations.

Original languageEnglish
Pages (from-to)222-227
Number of pages6
JournalIFAC-PapersOnLine
Volume49
Issue number22
DOIs
StatePublished - 2016
Externally publishedYes

Keywords

  • Evolutionary Game
  • Stochastic Stability
  • Structured Population
  • Two-Player Game
  • Well-Mixed Population

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