Effects of Information Sharing on Collective Behaviors in Competitive Populations

Abstract

This paper explores the effects of information sharing on diversity and adaptivity of behaviors in competitive populations. We focus on the information supplement of congestion status at the events or theme parks. We have conducted a multi-agent simulation, in which each agent visiting the attractions is able to avoid the crowded ones by using the shared information among agents with a certain probability. Experiments have shown that there exists the optimal probability that minimizes the congestion deviation among attractions. We also discuss the cause of a sudden decrease in this effect of information sharing, which has been observed in long-term experiments.