A New Evolutionary Method to Reduce Free Ride Behavior in Enterprise Decision-Making

In this article, we introduce a new and simple evolution method into a spatial voluntary public goods game by which individual can choose successful strategies according to the game´s earlier history. In particular, this method can provide an explanation how microscopic agent-agent interactions may generate a spontaneous cooperation for a more efficient outcome in real-life situations. Moreover, we found that the interest rate of common pool and the length of memory have crucial effects on the welfare of the whole population. And also substantially influences the equilibrium strategies distribution in the long run.