Cooperation dynamics of the population with interactive diversity on interdependent networks

Abstract

The population is often massive, and interacting patterns among individuals is also teeming with diversity and uncertainty. In order to explore the role of interactive diversity in the evolution of cooperation, we introduce two different types of agents into the game system: one is the node-strategy agent who will adopt the same interactive strategy for all neighbors; the other one is the link-strategy agent who will apply different strategies when confronting different neighbors. At the same time, we also investigate the impact of the coupling of multi-layer networks on large-scale group cooperation. The inter-layer coupling factors can achieve the purpose of information sharing to a certain extent through unrelated groups, thereby affecting the final cooperation. Monte Carlo simulation results show that under suitable social dilemmas, when the whole population plays the prisoner’s dilemma game, the diversity of individual interactive is conducive to improving the overall cooperation level, and the coupling between networks also has a positive impact on the emergence of cooperation. By contrast, the diversity of individual interaction and the coupling between networks will reduce the cooperation level when the population plays the snowdrift game. Current results are immensively conducive to understanding the universal cooperation phenomena inside many real-world networked systems.