个体解决方案对合作的阻碍:结合囚徒困境和猎鹿的三策略博弈的进化动力学

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Hirofumi Takesue
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引用次数: 0

摘要

本研究分析了一个整合囚徒困境和猎鹿元素的三策略博弈。该框架建立在最近确定单个解决方案影响的研究基础之上。采取这种解决办法的个人不会搭他人合作努力的便车;相反,他们的行动只是为了防止对自己造成不利后果。我们假设个体解决方案的作用类似于猎鹿博弈中的背叛策略。本研究考察了正统搭便车和个体解决方案对合作演化的影响。我们的分析表明,在混合良好的群体中,唯一稳定的休息点是所有参与者都选择各自的解决方案。当相互作用在方阵上构建时,合作水平表现出适度的提高,主要通过循环优势来维持。有利于合作的报酬值导致充分合作;然而,罕见的突变会破坏合作平衡,促进个体解决方案的采用。我们的分析与实验观察结果一致,并说明了克服对个人解决方案的依赖对于更好地理解合作的出现的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hinderance of cooperation by individual solutions: Evolutionary dynamics of three-strategy games combining the prisoner’s dilemma and stag hunt
This study analyzes a three-strategy game that integrates elements of the prisoner’s dilemma and stag hunt. The framework builds upon recent research that determines the impact of individual solutions. Individuals adopting such solutions do not free ride on the cooperative efforts of others; rather, they act just sufficiently to prevent adverse consequences for themselves. We hypothesize that individual solutions function analogously to the defection strategy in the stag hunt game. This study examines the effects of orthodox free riding and individual solutions on the evolution of cooperation. Our analysis reveals that in well-mixed populations, the only stable rest point is the one in which all players opt for individual solutions. When interactions are structured on a square lattice, cooperation levels exhibit modest improvements, primarily sustained through cyclic dominance. Payoff values favorable to cooperation result in full cooperation; however, rare mutations can disrupt the cooperative equilibrium, promoting the adoption of individual solutions. Our analysis aligns with experimental observations and illustrates the importance of overcoming reliance on individual solutions to better understand the emergence of cooperation.
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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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