Fixation of cooperation in evolutionary games with environmental feedbacks

被引:1
|
作者
Lv, Shaojie [1 ]
Li, Jiaying [2 ,3 ]
Zhao, Changheng [4 ]
机构
[1] Shandong Jiaotong Univ, Int Business Sch, Weihai 264200, Peoples R China
[2] Hubei Univ Sci & Technol, Sch Econ & Management, Xianning 437100, Peoples R China
[3] Peking Univ, Sch Econ, Beijing 100871, Peoples R China
[4] Lanzhou Univ, Sch Econ, Lanzhou 730000, Peoples R China
基金
中国国家自然科学基金;
关键词
Evolutionary game; Environmental feedback; Moran process; Cooperation; SELF-INTEREST; VACCINATION; DYNAMICS; BEHAVIOR;
D O I
10.1016/j.amc.2024.128957
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The interaction between strategy and environment widely exists in nature and society. Traditionally, evolutionary dynamics in finite populations are described by the Moran process, where the environment is constant. Therefore, we model the Moran process with environmental feedbacks. Our results show that the selection intensity, which is closely related to the population size, exerts varying influences on evolutionary dynamics. In the case of the specific payoff matrix, cooperation cannot be favored by selection in extremely small-sized populations. The medium-sized populations are beneficial for the evolution of cooperation under intermediate selection intensities. For weak or strong selection intensities, the larger the population size, the more favorable it is for the evolution of cooperation. In the case of the generalized payoff matrix, the low incentives for the defector to cooperate in the degraded state cannot promote the emergence of cooperation. As the incentive for the defector to cooperate in the degraded state increases, selection favors cooperation or defection depending on the population size and selection intensity. For large values of the incentive for the defector facing the cooperative opponent to cooperate in the degraded state, selection always favors cooperation. We further investigate the impact of the time-scale on the fixation probability of cooperation.
引用
收藏
页数:11
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