A social monitoring mechanism for third-party judges promotes cooperation in evolutionary games

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED
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引用次数: 0

Abstract

Corruption of third-party judges seriously undermines the level of cooperation. Without intervention, more corruptors and defectors would emerge, disrupting social harmony. Therefore, introducing an anti-corruption mechanism is crucial for the evolution of cooperation. In this paper, we propose a social monitoring mechanism to monitor third-party judges so that their payoffs are affected by the proportions of cooperators. Monte Carlo simulations on periodic boundary lattices. The results show that the social monitoring mechanism is effective in promoting cooperation and inhibiting corruption, and enhances the effectiveness of zealots in promoting cooperation. This facilitation effect is not only manifested in the Prisoner's Dilemma Game but also in the Snowdrift Game, which confirms the robustness of the results. Our research provides new insights for solving social dilemmas and curbing corruption.

第三方法官的社会监督机制促进了进化博弈中的合作
第三方法官的腐败严重破坏了合作水平。如果不加以干预,就会出现更多的腐败者和叛逃者,破坏社会和谐。因此,引入反腐机制对于合作的发展至关重要。在本文中,我们提出了一种社会监督机制来监督第三方法官,使他们的报酬受到合作者比例的影响。在周期性边界网格上进行蒙特卡罗模拟。结果表明,社会监督机制能有效促进合作、抑制腐败,并增强热心人促进合作的效果。这种促进效应不仅体现在囚徒困境博弈中,也体现在雪漂博弈中,这证实了结果的稳健性。我们的研究为解决社会困境和遏制腐败提供了新的见解。
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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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