Strategy selection is a fundamental problem for the evolutionary game process in structured populations. This paper aims at investigating the strategy selection problem by introducing a continuous evolutionary game dynamics on complex networks. It is shown that the population preference for strategies keeps unchanged under random drift in the evolutionary process. However, because of selection, the population will favor one strategy over the other based on the population structure and game payoffs. In particular, for the prisoners dilemma game, our results show that the cooperation is never favored in complete networks. However, it is greatly promoted by cycle networks. The above results are consistent with those in the traditional discrete...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...
Evolutionary game theorists have devoted a great deal of effort to answering questions related to co...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...
We discuss a model for evolutionary game dynamics in a growing, network-structured population. In ou...
Evolutionary dynamics shape the living world around us. At the centre of every evolutionary pro-cess...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Population games describe strategic interactions among large numbers of small, anonymous agents. Beh...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
The evolution of cooperation opens a prominent window to investigate the organizing properties in co...
The evolution of cooperation opens a prominent window to investigate the organizing properties in co...
Evolutionary game theory is used to model the evolution of competing strategies in a population of p...
Investigating the evolutionary dynamics of game theoretical interactions in populations where indivi...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...
Evolutionary game theorists have devoted a great deal of effort to answering questions related to co...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...
We discuss a model for evolutionary game dynamics in a growing, network-structured population. In ou...
Evolutionary dynamics shape the living world around us. At the centre of every evolutionary pro-cess...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Population games describe strategic interactions among large numbers of small, anonymous agents. Beh...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
Studies of complex networks has provided new grounds to the understanding of evolutionary dynamics [...
The evolution of cooperation opens a prominent window to investigate the organizing properties in co...
The evolution of cooperation opens a prominent window to investigate the organizing properties in co...
Evolutionary game theory is used to model the evolution of competing strategies in a population of p...
Investigating the evolutionary dynamics of game theoretical interactions in populations where indivi...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...
Evolutionary game theorists have devoted a great deal of effort to answering questions related to co...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...