Literature DB >> 21867109

Crossover between structured and well-mixed networks in an evolutionary prisoner's dilemma game.

Qionglin Dai1, Hongyan Cheng, Haihong Li, Yuting Li, Mei Zhang, Junzhong Yang.   

Abstract

In a spatial evolutionary prisoner's dilemma game (PDG), individuals interact with their neighbors and update their strategies according to some rules. As is well known, cooperators are destined to become extinct in a well-mixed population, whereas they could emerge and be sustained on a structured network. In this work, we introduce a simple model to investigate the crossover between a structured network and a well-mixed one in an evolutionary PDG. In the model, each link j is designated a rewiring parameter τ(j), which defines the time interval between two successive rewiring events for link j. By adjusting the rewiring parameter τ (the mean time interval for any link in the network), we could change a structured network into a well-mixed one. For the link rewiring events, three situations are considered: one synchronous situation and two asynchronous situations. Simulation results show that there are three regimes of τ: large τ where the density of cooperators ρ(c) rises to ρ(c,∞) (the value of ρ(c) for the case without link rewiring), small τ where the mean-field description for a well-mixed network is applicable, and moderate τ where the crossover between a structured network and a well-mixed one happens.

Entities:  

Mesh:

Year:  2011        PMID: 21867109     DOI: 10.1103/PhysRevE.84.011103

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Win-stay-lose-learn promotes cooperation in the spatial prisoner's dilemma game.

Authors:  Yongkui Liu; Xiaojie Chen; Lin Zhang; Long Wang; Matjaž Perc
Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.