进化动力学
集合(抽象数据类型)
进化博弈论
囚徒困境
困境
人口
随机博弈
选择(遗传算法)
进化稳定策略
生态学
进化生态学
博弈论
社会困境
数理经济学
计算机科学
数学
人工智能
生物
社会学
寄主(生物学)
人口学
程序设计语言
几何学
出处
期刊:Chaos
[American Institute of Physics]
日期:2024-11-01
卷期号:34 (11)
被引量:1
摘要
In structured populations, the ecology of games may vary over neighborhoods. The effect of the ecological variations on population dynamics remains largely unknown. We here incorporate the ecological variations into the set-structured populations to explore the coevolutionary dynamics of the ecology and cooperation. Individuals of a population are distributed over sets. Interactions occur in the form of evolutionary games. When two individuals share more common sets, they play the weak prisoner's dilemma. Otherwise, they play the strong prisoner's dilemma. Both the set memberships and the strategy update in the evolutionary process. Changes in set memberships hold sway over the games to be played, which, in turn, influences the performance of strategies. Combining evolutionary set theory and random walks on graphs, we derived the conditions for cooperation to be selected under the weak selection limit. We find that a denser set-structured population increases the probability of individuals participating in a weak prisoner's dilemma, and thereby promoting the spread of cooperation. Properly modulating the population structure and the payoff feedback can further lower the critical benefit-cost ratio required for cooperation to be selected. Our results may help better understand the effects of ecological variations in enhancing cooperative behavior in set-structured populations.
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