Coordinated Innovation Center for Computable Modeling in Management Science, Tianjin University of Finance and Economics, Tianjin, 300222, China.
Sci Rep. 2018 Oct 23;8(1):15616. doi: 10.1038/s41598-018-34116-0.
The impact of environment on individuals is particularly critical. In evolutionary games, adopting the strategy of the neighbor who performs better is nontrivial for the survival and maintenance of cooperation, in that such an action may help the agents to obtain higher benefit and more obvious evolutionary advantages. Inspired by this idea, we investigate the effect of the environment-based preference selection on the evolution of cooperation in spatial prisoner's dilemma. A simple rule, incorporating individual preference selection via an adjustable parameter α to explore how the selection of the potential strategy sources influences individual behavior traits, is considered. Because social interaction may not be the only way of generating payoffs, we assume that the individual's income is also affected by the environment. Besides, taking into account individual differences, we introduce the heterogeneity of the environment. Through numerous computing simulations, we find that environment-based preference selection, which accelerates the microscopic organization of cooperator clusters to resist the aggression of defectors, can truly promote cooperation within a large range of parameters. Our study indicates that the combination of heterogeneity and preference selection may be key for the sustainability of cooperation in structured populations.
环境对个体的影响尤为关键。在进化博弈中，采用表现更好的邻居的策略对于生存和维持合作并非易事，因为这种行为可以帮助参与者获得更高的收益和更明显的进化优势。受此启发，我们研究了基于环境的偏好选择对空间囚徒困境中合作进化的影响。我们考虑了一种简单的规则，通过可调参数 α 进行个体偏好选择，以探索潜在策略源的选择如何影响个体行为特征。由于社会互动可能不是产生收益的唯一途径，我们假设个体的收入也受到环境的影响。此外，考虑到个体差异，我们引入了环境的异质性。通过大量的计算模拟，我们发现基于环境的偏好选择可以加速合作者集群的微观组织，抵抗破坏者的攻击，从而在很大的参数范围内真正促进合作。我们的研究表明，异质性和偏好选择的结合可能是结构化群体中合作可持续性的关键。
