Self-Organization of Evolutionary Minority Game on Scale-Free Networks

In this work we consider a network of agents that compete for limited resources through an evolutionary minority game model with scale-free topology. The properties of such a system for different values of mean connectivity < k > of the network are studied. Simulation results suggest that the agents tend to self-segregate into opposing groups characterized by extreme actions and the agents can coordinate their behavior effectively in the system with < k >≈ 2. In addition, we also find the self-organized correlation between strategies of agents, where the success rate of agent having more information is higher than those with less information.