Self-organized Boolean game on networks

Abstract

A model of Boolean game with only one free parameter $p$ that denotes the strength of herd behavior is proposed where each agent acts according to the information obtained from his neighbors in network and those in the minority are rewarded. The simulation results indicate that the dynamic of system is sensitive to network topology, where 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 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 herd strength $p$.

5 pages, 5 eps figures

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• Artificial intelligence meets minority game: toward optimal resource allocation
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• Boolean Game on Scale-free Networks
• Optimal coordination of resources: A solution from reinforcement learning
• Effects of substrate network topologies on competition dynamics
• Emergence of grouping in multi-resource minority game dynamics