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噪声对空间公共品博弈中合作的拓扑无关影响。

Topology-independent impact of noise on cooperation in spatial public goods games.

作者信息

Szolnoki Attila, Perc Matjaz, Szabó György

机构信息

Research Institute for Technical Physics and Materials Science, H-1525 Budapest, Hungary.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Nov;80(5 Pt 2):056109. doi: 10.1103/PhysRevE.80.056109. Epub 2009 Nov 19.

Abstract

We study the evolution of cooperation in public goods games on different regular graphs as a function of the noise level underlying strategy adoptions. We focus on the effects that are brought about by different group sizes of public goods games in which individuals participate, revealing that larger groups of players may induce qualitatively different behavior when approaching the deterministic limit of strategy adoption. While by pairwise interactions an intermediate uncertainty by strategy adoptions may ensure optimal conditions for the survival of cooperators at a specific graph topology, larger groups warrant this only in the vicinity of the deterministic limit independently from the underlying graph. These discrepancies are attributed to the indirect linkage of otherwise not directly connected players, which is brought about by joint memberships within the larger groups. Thus, we show that increasing the group size may introduce an effective transition of the interaction topology, and that the latter shapes the noise dependence of the evolution of cooperation in case of pairwise interactions only.

摘要

我们研究了在不同规则图上公共物品博弈中合作行为的演变,该演变是策略采用背后噪声水平的函数。我们关注个体参与的公共物品博弈中不同群体规模所带来的影响,结果表明,在接近策略采用的确定性极限时,规模更大的玩家群体可能会引发性质不同的行为。虽然通过两两互动,策略采用中的中等不确定性可能会在特定图拓扑结构下确保合作者生存的最优条件,但规模更大的群体仅在确定性极限附近才能做到这一点,且与基础图无关。这些差异归因于规模更大群体中共同成员关系所带来的原本不直接相连玩家之间的间接联系。因此,我们表明增加群体规模可能会引入交互拓扑结构的有效转变,并且只有在两两互动的情况下,后者才会塑造合作演变对噪声的依赖性。

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