Agent-based simulation analysis for networks formation using PSO

In this study, we conduct agent-based simulation experiments of network formation focusing on a mathematical model proposed by Berninghaus et al. (2007) such that a periphery sponsored star network is the strict Nash equilibrium. Hayashida et al. (2011) conducted the simulation experiment using NN(Neural Network) and GA(Genetic Algorithm) model to analyze behavior of human subject in the experiment conducted by Berninghaus. Especially, this paper focuses on the change of the center players observed in the laboratory experiment using human subjects and another agent-based simulation in order to analyze the influence of the number of players and the amount of link cost. Because of long computational time of NN and GA, in this study the GA is replaced with PSO(Particle Swarm Optimization) for learning mechanism of the agents.