Evolution of cooperation in a three-strategy game combining snowdrift and stag hunt games

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-06-15 Epub Date: 2025-02-07 DOI:10.1016/j.amc.2025.129341
Hirofumi Takesue
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Abstract

This study aimed to investigate the evolutionary dynamics of a three-strategy game that combines snowdrift and stag hunt games. This game is motivated by an experimental study, which found that individual solution lowers cooperation levels. Agents adopting this option aim to address a problem to the extent necessary to prevent negative impact on themselves, although they do not free ride on cooperation effort provided by others. This property of the individual solution is similar to that of option defection in the stag hunt. Thus, the role of the interplay of defection in the snowdrift game and individual solution was examined in this study. The well-mixed population has two asymptotically stable rest points, one wherein the individual solution occupies the population, and the other wherein cooperation and defection coexist. The interactions on a square lattice enlarge the parameter region wherein cooperation survives, and the three strategies often coexist. The scrutinization of the evolutionary process shows that multiple mechanisms lead to the coexistence of the three strategies depending on parameter values. Our analysis suggests that considering the individual solution adds complexity to the evolutionary process, which might contribute to our understanding on the evolution of cooperation.
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雪堆与猎鹿游戏相结合的三策略博弈中的合作演化
本研究旨在探讨一种结合雪堆和猎鹿游戏的三策略游戏的进化动力学。这款游戏的动机来自于一项实验研究,该研究发现个体解决方案会降低合作水平。采取这一选择的代理人的目的是在必要的程度上解决问题,以防止对自己产生负面影响,尽管他们不搭便车他人提供的合作努力。个体解的这一性质类似于猎鹿中的期权背离。因此,本研究考察了叛逃在雪堆博弈和个体解决方案中的相互作用。混合良好的种群有两个渐近稳定的休息点,其中一个是个体解占据种群,另一个是合作与背叛共存。方阵上的相互作用扩大了合作生存的参数区域,并且三种策略经常共存。对演化过程的考察表明,根据参数值的不同,多种机制导致了三种策略的共存。我们的分析表明,考虑个体解决方案增加了进化过程的复杂性,这可能有助于我们对合作进化的理解。
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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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