Effects of adaptive dynamical linking in networked games.
Effects of adaptive dynamical linking in networked games.
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DOI：
10.1103/physreve.88.042128
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发表时间：
2013-10
期刊：
影响因子：
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通讯作者：
Zhihu Yang;Zhi Li;Te Wu;Long Wang
中科院分区：
文献类型：
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作者：
Zhihu Yang;Zhi Li;Te Wu;Long Wang
动态拓扑在合作演化中的作用受到了广泛的关注，因为一些研究表明，在促进合作方面，动态网络比静态网络要好得多。本文研究了随机动态网络中每个agent没有永久伙伴的合作演化动力学模型。每当创建新链接时，其持续时间是随机分配的，没有任何偏见或偏好。我们允许智能体根据游戏交互的反馈自适应地调整进化过程中每个环节的持续时间。通过蒙特卡洛模拟，我们发现这种自适应动态链接机制可以显著地促进合作，无论是在配对互动的囚徒困境博弈（PDG）中，还是在群体互动的公共物品博弈（PGG）中。调整速度越快，合作进化越成功。我们还表明，在这种情况下，弱选择比强选择更有利于合作。特别有意义的是，本研究中合作的繁荣表明，单个个体在调整社会关系时的理性和自私可以导致整个群体的利他主义的进步。
The role of dynamical topologies in the evolution of cooperation has received considerable attention, as some studies have demonstrated that dynamical networks are much better than static networks in terms of boosting cooperation. Here we study a dynamical model of evolution of cooperation on stochastic dynamical networks in which there are no permanent partners to each agent. Whenever a new link is created, its duration is randomly assigned without any bias or preference. We allow the agent to adaptively adjust the duration of each link during the evolution in accordance with the feedback from game interactions. By Monte Carlo simulations, we find that cooperation can be remarkably promoted by this adaptive dynamical linking mechanism both for the game of pairwise interactions, such as the Prisoner's Dilemma game (PDG), and for the game of group interactions, illustrated by the public goods game (PGG). And the faster the adjusting rate, the more successful the evolution of cooperation. We also show that in this context weak selection favors cooperation much more than strong selection does. What is particularly meaningful is that the prosperity of cooperation in this study indicates that the rationality and selfishness of a single agent in adjusting social ties can lead to the progress of altruism of the whole population.