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随机非增长网络演化模型中的囚徒困境

Prisoner's dilemma on a stochastic nongrowth network evolution model.

作者信息

Hatzopoulos Vasilis, Jensen Henrik Jeldtoft

机构信息

Institute of Mathematical Sciences, Imperial College, South Kensington campus, London, United Kingdom.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Jul;78(1 Pt 1):011904. doi: 10.1103/PhysRevE.78.011904. Epub 2008 Jul 11.

DOI:10.1103/PhysRevE.78.011904
PMID:18763979
Abstract

We investigate the evolution of cooperation on a nongrowth dynamic network model with a death-birth dynamics based on tournament selection. In the limit of large population size, the equilibrium cooperator density is well described by our mean field approximations and inversely related to the average degree in the system. Small populations are also examined and found to deviate considerably from their expected mean field behavior. An expanded replicator equation incorporating Gaussian fluctuations in the strategy densities is then constructed, with its output agreeing well with our simulation data for all sizes. We also briefly comment on the role of strategy mutation in sustaining polymorphic populations in small systems.

摘要

我们基于锦标赛选择,在具有生死动态的非增长动态网络模型上研究合作的演变。在大种群规模的极限情况下,我们的平均场近似很好地描述了平衡合作者密度,且其与系统中的平均度成反比。我们还研究了小种群,发现它们与预期的平均场行为有很大偏差。然后构建了一个在策略密度中纳入高斯波动的扩展复制方程,其输出与我们所有规模的模拟数据都吻合得很好。我们还简要评论了策略突变在维持小系统中多态种群方面的作用。

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