选择(遗传算法)
人口
稳健性(进化)
极限(数学)
数理经济学
进化博弈论
计算机科学
博弈论
自然选择
微观经济学
构造(python库)
进化稳定策略
进化动力学
均衡选择
进化算法
利他主义(生物学)
协调博弈
数学
分组选择
亲属选择
管理科学
社会困境
复制因子方程
人口结构
经济
航程(航空)
包容性健身
作者
Jakub Svoboda,Krishnendu Chatterjee
标识
DOI:10.1073/pnas.2524109122
摘要
Evolutionary games provide a flexible mathematical framework for many problems in biology and social evolution. Prisoners' dilemma, and in particular, the important special case of donation games, represents social dilemmas where cooperation is mutually beneficial, yet defection is preferred by selfish agents. In evolutionary games on networks, the agents interact over a population structure. The existence of population structures that promote cooperative behavior is a fascinating and active research topic. Previous research establishes structures promoting cooperation in the limit of weak selection where the benefit-to-cost ratio β exceeds 1.5. The existence of such structures for medium and strong selection for [Formula: see text] and for weak selection for [Formula: see text] has been a long-standing open question. First, we answer the open questions in the affirmative: For every selection strength and every [Formula: see text], we construct networks promoting cooperation. Second, we present a robustness result with respect to β and selection strength: Our structures promote cooperation for a range of these parameter values rather than specific parameter values. Finally, we supplement our theoretical results with simulation results on small population structures that show the effectiveness of our construction over well-studied population structures.
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