进化博弈论
进化动力学
选择(遗传算法)
博弈论
社会进化
共同进化
计算机科学
进化生物学
微观经济学
生物
社会学
人工智能
经济
人口
人口学
作者
Onkar Sadekar,Andrea Civilini,Jesús Gómez‐Gardeñes,Vito Latora,Federico Battiston
出处
期刊:Physical review
[American Physical Society]
日期:2024-07-29
卷期号:110 (1)
被引量:1
标识
DOI:10.1103/physreve.110.014306
摘要
The emergence of collective cooperation in competitive environments is a well-known phenomenon in biology, economics, and social systems. While most evolutionary game models focus on the evolution of strategies for a fixed game, how strategic decisions coevolve with the environment has so far mostly been overlooked. Here, we consider a game selection model where not only the strategies but also the game can change over time following evolutionary principles. Our results show that coevolutionary dynamics of games and strategies can induce novel collective phenomena, fostering the emergence of cooperative environments. When the model is taken on structured populations the architecture of the interaction network can significantly amplify pro-social behavior, with a critical role played by network heterogeneity and the presence of clustered groups of similar players, distinctive features observed in real-world populations. By unveiling the link between the evolution of strategies and games for different structured populations, our model sheds new light on the origin of social dilemmas ubiquitously observed in real-world social systems.
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