Evolutionary Public Goods Game on Evolving Random Networks

Abstract

In this paper, we investigated the public goods game (PGG) on evolving random networks by introducing informed cooperators (IC) who can adjust their local topology of networks according to the information they obtained at cost. Our research shows that a high rate of network updating may provide a favorable environment for cooperation to emerge and thrive. In particular, we have found that the informed cooperators may separate the defectors (D) out and form an isolated population of cooperative strategies under adverse conditions.