Co-evolution of reputation-based preference selection and resource allocation with multigame on interdependent networks

Abstract

In nature and human society, individual's reputation and selection of interaction objects play a very important role in explaining the emergence and maintenance of cooperation. Meanwhile, how to make resources allocation more evenly and properly has attracted extensive attention. In this article, based on the multi-game mode of the interdependent network, a reputation-based preference selection mechanism is proposed, where individual's reputation is used as its weight to redefine its individual's fitness and dynamically adjusted. And, the cooperative behavior and dynamic characteristics of different individuals in the system from different perspectives are studied. Moreover, limited resources are also leaded into the network, which has an impact on the reputation of agents. Based on this model, the interdependent strength, reputation, sucker's payoff and strategy choice from different angles is deeply studied, and corresponding evolution dynamics are also discussed. As the results, the optimal interdependent strength is found. Besides, preferential parameter and sucker's payoff not only improve cooperation rate, but also affect the resource allocation of different individuals in the system. Finally, we hope that it can provide some theoretical references for some real systems through this work.