An agent-based approach to simulations of global influence with random effect

Recently, agent-based simulation problems have been. attracting much attention in not only information engineering but also economics and social science. We present a new method for analyzing social science by an agent-based simulation with random element which uses a stochastic system theory. We treat two types of agents, pioneers and followers, in a two-dimensional grid world. Agents decide the attitudes by local influences (effects of the neighbors) and global influences (effects of mass-media), and agents change their attitudes by two kinds of influences. So as to consider the obscure global influences, we propose a model of the global influence including a random element. Simulation studies show that the results of agent-based simulations are very sensitive to the global influence including the random effect.