作者: Jiaqi Li , Jianwu Dang , Jianlei Zhang
DOI: 10.1016/J.AMC.2019.124837
关键词: Stochastic game 、 Dilemma 、 Computer science 、 Population 、 Prisoner's dilemma 、 Mathematical economics 、 Iterated function 、 Relation (database)
摘要: Abstract We present a computational model of bidirectional choice based on the length information previous payoff to study cooperative dynamics iterated prisoner’s dilemma game directed weighted lattices. For paired two individuals in network, they can attend under condition that both successfully choose other party with intensity unidirectional interaction, and changing interaction according relation between individual’s current its which are gained from party. The simulation results show this evolutionary rule availably remove stumbling blocks cooperators for existence hugely boost cooperation population. Interestingly, smaller or moderate cost-to-benefit ratio (0