Enhancement of cooperation induced by information-payoff evolution on two-layer complex networks

Human behavior will be influenced by information. Thus, we propose a model of interdependent scale-free networks to depict this situation. One layer represents the information network with cooperative and defective signals, and the other one indicates the game network with node-type and link-type players. Within this model, the nodes of the information network and the game network correspond one by one, but the types of signals and strategies, as well as the edges of the two networks, need not to be strictly consistent. Furthermore, signals in the information network are constantly updated in the unique way, which can influence dissemination of behavior in the game network. Herein, we investigate the impact of signal update probability and the proportion of link-type players on the evolution of cooperation. Lots of simulation results indicate that such simple setup can greatly facilitate the evolution of cooperation.