The influence of reputation levels and disparities on the evolution of cooperation in spatial prisoner's dilemma game

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-04-18 DOI:10.1016/j.amc.2025.129473
Yan Bi , Qingyi Hao , Kui Liu
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引用次数: 0

Abstract

Benefiting from the development of information science and technology, more and more scholars use various complex networks as evolutionary carriers to research evolutionary game theory, which leads to the gradual unraveling of many evolutionary mechanisms. The reputation mechanism is particularly interesting and important among many mechanisms. Therefore, it has received widespread attention and research from related researchers, which is also mainly attributed to the important effect of reputation in promoting cooperation of evolution system. However, until now, the role of reputation mechanism in facilitating the evolution of cooperation has not been completely accurately revealed. In reality, the mechanism of mutual imitation of behaviors between interactive individuals based on reputation factors is still an interesting and unsolved problem. In this work, a novel evolutionary mechanism is proposed based on reputation levels and disparities, in which the evolutionary strategy of imitator is influenced by the reputation disparities of the imitated and the imitator. Moreover, based on the proposed evolutionary mechanism, this paper also explores the influence of reputation levels on the evolution of cooperation. Monte Carlo simulations verify that the proposed evolutionary mechanism is easier to promote cooperation of evolution system, especially when the reputation weight factor is larger, or the number of reputation levels is fewer, compared with the traditional PDG model. The study also indirectly reveals that streamlining the institutions is easy to promote social harmony and development.
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空间囚徒困境博弈中声誉水平和差异对合作演化的影响
得益于信息科学技术的发展,越来越多的学者将各种复杂网络作为进化载体来研究进化博弈论,使得许多进化机制逐渐被揭示出来。在众多机制中,声誉机制尤为有趣和重要。因此,它得到了相关研究者的广泛关注和研究,这也主要归因于声誉在促进进化系统合作中的重要作用。然而,到目前为止,声誉机制在促进合作演化中的作用还没有得到完全准确的揭示。在现实中,基于声誉因素的互动个体之间相互模仿行为的机制仍然是一个有趣的尚未解决的问题。本文提出了一种基于声誉水平和差异的进化机制,其中模仿者的进化策略受到被模仿者和被模仿者声誉差异的影响。在此基础上,本文还探讨了声誉水平对合作进化的影响。Monte Carlo仿真验证了所提出的进化机制与传统的PDG模型相比,更容易促进进化系统的合作,特别是当声誉权重因子较大或声誉等级数较少时。该研究还间接揭示了精简制度有利于促进社会和谐与发展。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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