Shen Chen, Chu Chen, Shi Lei, Perc Matjaž, Wang Zhen
School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan 650221, People's Republic of China.
Faculty of Natural Sciences and Mathematics, University of Maribor, Koroska cesta 160, 2000 Maribor, Slovenia.
R Soc Open Sci. 2018 May 2;5(5):180199. doi: 10.1098/rsos.180199. eCollection 2018 May.
In this article, we propose an aspiration-based coevolution of link weight, and explore how this set-up affects the evolution of cooperation in the spatial prisoner's dilemma game. In particular, an individual will increase the weight of its link to its neighbours only if the payoff received via this interaction exceeds a pre-defined aspiration. Conversely, if the received payoff is below this aspiration, the link weight with the corresponding neighbour will decrease. Our results show that an appropriate aspiration level leads to a high-cooperation plateau, whereas too high or too low aspiration will impede the evolution of cooperation. We explain these findings with a comprehensive analysis of transition points and with a systematic analysis of typical configuration patterns. The presented results provide further theoretical insights with regards to the impact of different aspiration levels on cooperation in human societies.
在本文中,我们提出了一种基于期望的链路权重协同进化方法,并探究这种设置如何影响空间囚徒困境博弈中合作的进化。具体而言,只有当通过这种互动获得的收益超过预先定义的期望时,个体才会增加其与邻居之间链路的权重。相反,如果获得的收益低于该期望,则与相应邻居的链路权重将降低。我们的结果表明,适当的期望水平会导致高合作平稳期,而过高或过低的期望都会阻碍合作的进化。我们通过对转变点的全面分析以及对典型配置模式的系统分析来解释这些发现。所呈现的结果为不同期望水平对人类社会合作的影响提供了进一步的理论见解。