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首页> 外文会议>2017 International Conference on Security, Pattern Analysis, and Cybernetics >Networking effects on cooperation in evolutionary N-person threshold games
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Networking effects on cooperation in evolutionary N-person threshold games

机译：网络对进化型N人阈值游戏中合作的影响

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摘要

Evolutionary game theory has been extensively employed to study the evolution of cooperation in human society. Many previous studies have shown that public cooperation can emerge from positive interactions and social diversity in structured populations. Here we study the evolution of cooperation under N-person interactions, where a minimum threshold of individuals must cooperate to produce public benefits. This is a very common phenomenon in teamwork, especially given the limited capacity of individuals. In this paper, we first present two scenarios of individual contribution mechanisms under an N-person threshold game to characterize such real-world situations. Then, we analyze the stable equilibrium for both scenarios of threshold games in well-mixed populations. Finally, we carry out simulations on three types of complex networks to evaluate the effects of both individual interactions and social diversity on the evolution of cooperation in structured populations. The analytical and simulation results in this paper offer a new insight into the evolution of cooperation in the face of threshold.
机译：进化博弈论已被广泛用于研究人类社会合作的进化。以前的许多研究表明，公共合作可以从结构性人群中的积极互动和社会多样性中产生。在这里，我们研究了在N个人互动下合作的演变过程，其中最低阈值的个人必须合作才能产生公共利益。这是团队合作中非常普遍的现象，尤其是在个人能力有限的情况下。在本文中，我们首先提出一种在N人阈值博弈下的个人贡献机制的两种情况，以描述这种现实情况。然后，我们分析了混合充分的群体中两种阈值博弈的稳定均衡。最后，我们对三种类型的复杂网络进行了仿真，以评估个体互动和社会多样性对结构化人口合作演变的影响。本文的分析和仿真结果为面对门槛的合作演变提供了新的见解。

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