Regular Article - Statistical and Nonlinear Physics
Environment-driven migration enhances cooperation in evolutionary public goods games
School of Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China
Accepted: 28 March 2022
Published online: 10 April 2022
Migration plays a critical role in the evolution of cooperation under the framework of evolutionary game theory. Previous studies have demonstrated that individuals might make their migration decisions based on various information, for example, their current cooperative environments, potential advantages of new places, and their own aspirations. In reality, people may perceive environment information and make decisions based on these information. In this paper, we introduce an environment-driven migration into evolutionary public goods games which are carried out on a two-dimensional plane, where individuals decide whether to migrate according to the probabilities determined by the differences between the local and global cooperative environments. We find that such an environment-driven migration can effectively enhance cooperation. Furthermore, there exists an optimal migration noise that leads to a highest cooperation level. In addition, we also find that appropriate moving speeds and migration tendencies, as well as relatively low population densities in the model are more favorable to the evolution of cooperation.
© The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2022