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Strategy imitation behavior driven influence adjustment promotes cooperation in spatial prisoner's dilemma game

机译:战略模仿行为驱动的影响调整促进空间囚犯困境游戏中的合作

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In social and biological systems, besides interaction payoffs, individual fitness which is used in strategy evolution, can also be influenced by other extrinsic factors. In this paper, individual influence is introduced into the spatial prisoner's dilemma game, which is dependent on the adjustment sensitivity, the duration of the current strategy and strategy imitation behaviors during the game. Tuned by the individual influence, the fitness of some individuals with the same interaction payoffs may be different. The effect of individual influence on improving cooperation has been researched, and the result shows that the level of cooperation is effectively promoted when the individual influence is considered. Moreover, with the adjustment sensitivity becomes larger, a greater degree of cooperation can be warranted even the temptation to defect is relatively large. The role of individual memory length threshold has also been investigated. Interestingly, individual memory length is not the primary factor that enforces the emergence of cooperative behavior among selfish competitors, it only accelerates the velocity of population evolution. By configurational analysis, the reason for the improvement of cooperation level has been carefully explained. It occurs mainly because some cooperator clusters can resist the invasion of defectors by interacting with defectors that have lower individual influences. Finally, the robust with respect to the cooperation evolution in other network structures is further studied. We find out that scale-free and small-world networks make the system as efficient as lattice network. Our work provides a new perspective on understanding of cooperative behaviors in societies. (C) 2019 Elsevier B.V. All rights reserved.
机译:在社会和生物系统中,除了相互作用之后,在策略演变中使用的个体健身也可以受到其他外在因素的影响。在本文中,在空间囚犯的困境游戏中引入了个人影响,这取决于调整灵敏度,目前在游戏期间的策略和战略模仿行为的持续时间。由个体影响调整,一些具有相同相互作用的人的身份的适应性可能是不同的。有人研究了个体对改善合作的影响,结果表明,当考虑各个影响时,有效促进了合作水平。此外,随着调节灵敏度变大,即使对缺陷的诱惑相对较大,也可以保证更大程度的合作。还研究了个体内存长度阈值的作用。有趣的是,个人记忆长度不是强制自私竞争对手之间的合作行为的出现的主要因素,它只加速人口演化的速度。通过配置分析,仔细解释了改善合作水平的原因。它主要是因为一些合作群体可以通过与具有较低个人影响的缺陷相互作用来抵抗缺陷的侵袭。最后,进一步研究了对其他网络结构中的合作演进的稳健。我们发现无规模和小世界网络使系统与格子网络一样有效。我们的工作提供了一种了解社会合作行为的新视角。 (c)2019 Elsevier B.v.保留所有权利。

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