Enhanced Cooperation of Game on Scale-Free Networks
In this paper 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 that the dynamics of the system is sensitive to the clustering coefficients of the scale-free networks, and the self-organized correlation between strategies of agents, where the success rate of agent having more information is higher than those with less information.
Lihui Shang
College of Optics and Electronic Information Engineering University of Shanghai for Science and Technology Shanghai 200093, P. R. China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）