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Effects of updating rules on the coevolving prisoner's dilemma

机译:更新规则对共同囚犯困境的影响

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We studied the effect of three strategy updating rules in coevolving prisoner's dilemma games where agents (nodes) can switch both the strategy and social partners. Under two node-based strategy updating rules, strategy updating occurs between a randomly chosen focal node and its randomly selected neighbour. The focal agent becomes the strategy recipient and may imitate the strategy of the neighbour according to the payoff difference, i.e. voter-model-like dynamics (VMLD), or becomes a strategy donor and thus may be imitated by the neighbour, i.e. invasion-process-like dynamics (IPLD). For edge-based updating rules, one edge is selected, and the roles of the two connected nodes (donor or recipient) are randomly decided, i.e. edge-based dynamics (EBD). A computer simulation shows that partner switching supports the evolution of cooperation under VMLD, which has been utilised in many studies on spatial evolutionary games, whereas cooperators often vanish under IPLD. The EBD results lie between these two processes. This difference is prominent among nodes with large degrees. In addition, partner switching induces a non-monotonic relationship between the fraction of cooperators and intensity of selection under VMLD and EBD, and a weak or strong selection supports cooperation. In contrast, only a strong selection supports cooperators under IPLD. Similar differences in the enhancement of cooperation are observed when games are played on static heterogeneous networks. Our results imply that the direction of imitation is quite important for understanding the evolutionary process of cooperation. (C) 2018 Elsevier B.V. All rights reserved.
机译:我们研究了三种策略更新规则在囚犯困境游戏中的效果,其中代理(节点)可以切换战略和社会伙伴。在基于节点的策略更新规则下,策略更新发生在随机选择的焦点节点和其随机选择的邻居之间。焦点代理成为策略接收者,并且可以根据支付差异,即选民模型的动态(VMLD)来模仿邻居的策略,或者成为策略捐赠者,因此可以由邻居模仿,即入侵过程 - 类似动态(IPLD)。对于基于边缘的更新规则,选择一个边缘,并且两个连接的节点(捐赠者或接收者)的角色被随机决定,即基于边缘的动态(EBD)。计算机仿真表明,合作伙伴转换支持VMLD下的合作演变,这些商业在许多空间进化奥运会上使用,而合作者经常在IPLD下消失。 EBD结果位于这两个过程之间。这种差异在具有大程度的节点中突出。此外,合作伙伴切换在VMLD和EBD下的合作者的分数和选择强度之间引起非单调的关系,以及弱势或强烈的选择支持合作。相比之下,只有强大的选择支持IPLD下的合作者。当在静态异构网络上播放游戏时,观察到相似差异。我们的结果意味着模仿的方向对于了解进化的合作过程非常重要。 (c)2018年elestvier b.v.保留所有权利。

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