Evolutionary dynamics within and among competing groups

进化动力学 分组选择 激励 进化博弈论 自然选择 人口 互惠(文化人类学) 竞赛(生物学) 微观经济学 选择(遗传算法) 公共物品游戏 经济 进化生物学 生物 博弈论 生态学 公共物品 计算机科学 心理学 社会心理学 人工智能 社会学 人口学
作者
Daniel B. Cooney,Simon A. Levin,Yoichiro Mori,Joshua B. Plotkin
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:120 (20) 被引量:10
标识
DOI:10.1073/pnas.2216186120
摘要

Biological and social systems are structured at multiple scales, and the incentives of individuals who interact in a group may diverge from the collective incentive of the group as a whole. Mechanisms to resolve this tension are responsible for profound transitions in evolutionary history, including the origin of cellular life, multicellular life, and even societies. Here, we synthesize a growing literature that extends evolutionary game theory to describe multilevel evolutionary dynamics, using nested birth-death processes and partial differential equations to model natural selection acting on competition within and among groups of individuals. We analyze how mechanisms known to promote cooperation within a single group-including assortment, reciprocity, and population structure-alter evolutionary outcomes in the presence of competition among groups. We find that population structures most conducive to cooperation in multiscale systems can differ from those most conducive within a single group. Likewise, for competitive interactions with a continuous range of strategies we find that among-group selection may fail to produce socially optimal outcomes, but it can nonetheless produce second-best solutions that balance individual incentives to defect with the collective incentives for cooperation. We conclude by describing the broad applicability of multiscale evolutionary models to problems ranging from the production of diffusible metabolites in microbes to the management of common-pool resources in human societies.
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