Large Scale Social Simulation with more Than a Hundred Million Agents

Abstract

In this study, we propose a coding method for enabling a huge number of agents in a social simulation such as minority game. The minority game is a game when participants (or agents) win when they select a group with a smaller number of participants. Using our coding method, we successfully implements the minority game with more than a hundred million agents. From our simulation results, we observed a cycle that varies according to the size of memory of each agent that can not be observed with a smaller number of agents. We show some simulation results showing those cycles.