Department of Network and Data Science, <a href="https://ror.org/02zx40v98">Central European University</a> Vienna, Vienna 1100, Austria.
School of Mathematical Sciences, <a href="https://ror.org/026zzn846">Queen Mary University of London</a>, London E1 4NS, United Kingdom.
Phys Rev E. 2024 Jul;110(1-1):014306. doi: 10.1103/PhysRevE.110.014306.
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.
在竞争环境中出现的集体合作是生物学、经济学和社会系统中众所周知的现象。虽然大多数进化博弈模型都集中于固定博弈的策略进化，但策略如何与环境共同进化在很大程度上一直被忽视。在这里，我们考虑了一个博弈选择模型，其中不仅策略，而且游戏也可以根据进化原则随时间而变化。我们的结果表明，游戏和策略的共同进化动力学可以诱导新的集体现象，促进合作环境的出现。当模型应用于结构种群时，相互作用网络的结构可以显著放大亲社会行为，网络异质性和相似玩家聚类群体的存在起着关键作用，这是在现实世界种群中观察到的独特特征。通过揭示不同结构种群中策略和游戏进化之间的联系，我们的模型为在现实世界社会系统中普遍观察到的社会困境的起源提供了新的认识。
