Coevolution of nonlinear group interactions and strategies on scale-free networks
From microbial communities to human societies,nonlinear group interactions strongly affect the intraspecific evolutionary dynamics,which leads to the variation of the strategy composition.The consequence of such variations may in turn elicit the change of interactions,e.g.,from synergistic interactions to discounted ones or vice versa.This indicates that the nonlinear factor governing group interactions may be subject to evolution and coevolve with the state of the population.Here,we develop a model to explore how this coevolution affects the evolution of cooperation on scale-free networks.Our coevolutionary model correlates the nonlinear factor of group interactions with the frequency of cooperators.Two types of correlation are considered,positive and negative.We find that negative correlation leads to stable coexistence of cooperators and defectors while positive one results in bi-stability for which two stable equilibria exist and either one or the other will be reached eventually.In addition,by correlating the nonlinear factor with the global or local frequency of cooperators,we consider two levels of coevolution—global or local.Our results show that when a negative correlation is present,global coevolution promotes more cooperation than the local one.However,when the correlation is positive,local coevolution instead is better for cooperation by allowing higher level of cooperation if the coordination barrier is overcome.Our results thus offer new insights on how the coevolution of nonlinear group interactions and strategies affects the evolution of cooperation on scale-free networks and serve as complements to the traditional models.
Cooperation Coevolution Nonlinear group interactions Evolutionary dynamics
ZHOU Lei
Center for Systems and Control,College of Engineering,Peking University,Beijing 100871,P.R.China
国内会议
厦门
英文
340-344
2017-11-17（万方平台首次上网日期，不代表论文的发表时间）