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Cooperation enhanced by the 'survival of the fittest' rule in prisoner's dilemma games on complex networks.

机译:在复杂网络上的囚徒困境游戏中,“适者生存”规则增强了合作。

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Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection, whereby we introduce a model of strategy evolution taking place on evolving networks based on Darwinian 'survival of the fittest' rule. In the present work, players whose payoffs are below a certain threshold will be deleted and the same number of new nodes will be added to the network to maintain the constant system size. Furthermore, the networking effect is also studied via implementing simulations on four typical network structures. Numerical results show that cooperators can obtain the biggest boost if the elimination threshold is fine-tuned. Notably, this coevolutionary rule drives the initial networks to evolve into statistically stationary states with a broad-scale degree distribution. Our results may provide many more insights for understanding the coevolution of strategy and network topology under the mechanism of nature selection whereby superior individuals will prosper and inferior ones be eliminated.
机译:自私个体之间合作的普遍程度令人困惑,因为它与自然选择的基本前​​提相矛盾,在此我们引入了一种基于达尔文式的“适者生存”规则在不断发展的网络上进行战略发展的模型。在目前的工作中,收益低于特定阈值的玩家将被删除,并且相同数量的新节点将被添加到网络中以维持恒定的系统大小。此外,还通过对四种典型网络结构进行仿真来研究网络效应。数值结果表明,如果对消除阈值进行微调,合作者可以获得最大的提升。值得注意的是,这种协同进化规则驱使初始网络演化为具有大规模分布的统计稳定状态。我们的研究结果可能为理解自然选择机制下策略和网络拓扑的协同进化提供更多的见识,从而使优越的个人富裕而劣等的个人被淘汰。

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