Self-organized Boolean game on networks.
A model of a Boolean game with only one free parameter p that denotes the strength of local interaction is proposed wherein each agent acts according to the information obtained from his neighbors in the network, and those in the minority are rewarded. The simulation results indicate that the dynamic of the system is sensitive to network topology, whereby the network of larger degree variance, i.e., the system of greater information heterogeneity, leads to less system profit. The system can self-organize to a stable state and perform better than the random choice game, although only the local information is available to the agents. In addition, in heterogeneity networks, the agents with more information gain more than those with less information for a wide extent of interaction strength p.
Zhou
Tao
T
Department of Modern Physics, University of Science and Technology of China, Hefei Anhui, 230026, People's Republic of China.
Wang
Bing-Hong
BH
Zhou
Pei-Ling
PL
Yang
Chun-Xia
CX
Liu
Jun
J