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分层晶格上的进化囚徒困境博弈

Evolutionary prisoner's dilemma game on hierarchical lattices.

作者信息

Vukov Jeromos, Szabó György

机构信息

Department of Biological Physics, Eötvös University, Pázmány Péter sétány 1/A, H-1117 Budapest, Hungary.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Mar;71(3 Pt 2A):036133. doi: 10.1103/PhysRevE.71.036133. Epub 2005 Mar 23.

Abstract

An evolutionary prisoner's dilemma (PD) game is studied with players located on a hierarchical structure of layered square lattices. The players can follow two strategies [ D (defector) and C (cooperator)] and their income comes from PD games with the "neighbors." The adoption of one of the neighboring strategies is allowed with a probability dependent on the payoff difference. Monte Carlo simulations are performed to study how the measure of cooperation is affected by the number of hierarchical levels (Q) and by the temptation to defect. According to the simulations the highest frequency of cooperation can be observed at the top level if the number of hierarchical levels is low (Q<4) . For larger Q , however, the highest frequency of cooperators occurs in the middle layers. The four-level hierarchical structure provides the highest average (total) income for the whole community.

摘要

研究了一个进化囚徒困境(PD)博弈,其中参与者位于分层方格晶格的层次结构上。参与者可以遵循两种策略[D(背叛者)和C(合作者)],他们的收益来自与“邻居”进行的PD博弈。允许以取决于收益差异的概率采用邻居的策略之一。进行了蒙特卡罗模拟,以研究合作度量如何受到层次级别数量(Q)和背叛诱惑的影响。根据模拟结果,如果层次级别数量较低(Q<4),则在顶层可以观察到最高的合作频率。然而,对于较大的Q,合作者的最高频率出现在中间层。四级层次结构为整个社区提供了最高的平均(总)收入。

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