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Emergence of cooperative linkages by random intensity of selection on a network

机译:通过网络上的随机选择强度来出现协作链接

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摘要

By assuming the random intensity of selection, the emergence of cooperation on a network is studied. We constructed an evolutionary model in which an individual plays the prisoner's dilemma game, and updates both its strategy and neighbor connections in response to its relative success in the game. The constant (strong or weak) and random intensities of selection are compared. The random intensities of selection are introduced to realize complex environmental effects on the fitness of each individual. Breaking the links on the network is realized according to fixed global parameters. We found that cooperative clusters emerged when cooperators unilaterally broke the link with defectors. The emergent networks under these conditions had a high clustering coefficient and shared some properties with a scale-free network. In addition, after a cooperator with high fitness emerged circumstantially under the random intensity of selection, we observed that the cooperative linkages emerged and spread rapidly through the network. This situation frequently occurred because of the stochastic effect on the fitness of cooperators. Thus, the origin of such phenomena is qualitatively different from the Lotka-Volterra system in which deterministic processes control the system. Cooperative linkages spread more when defectors maintained many links with cooperators.
机译:通过假设选择的随机强度,研究了网络上合作的出现。我们构建了一个进化模型,其中一个人玩囚徒的困境游戏,并根据其在游戏中的相对成功来更新其策略和邻居关系。比较常数(强或弱)和随机选择强度。引入随机选择强度,以实现对每个人的身体状况的复杂环境影响。根据固定的全局参数来实现断开网络上的链接。我们发现,当合作者单方面破坏与叛逃者的联系时,合作集群就出现了。在这些条件下出现的网络具有较高的聚类系数,并且与无标度网络共享某些属性。此外,在选择的随机强度下,一个适应性强的合作者在环境中出现后,我们观察到合作链接出现并迅速通过网络传播。由于对合作伙伴的适应性具有随机影响,因此经常发生这种情况。因此,这种现象的起源在本质上不同于确定过程控制系统的Lotka-Volterra系统。当叛逃者与合作者保持许多联系时,合作联系更加广泛。

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