A Theoretical Agent-Based Model to simulate an Artificial Social Evolution

Abstract

Agent-based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to build a theoretical agent-based model to simulate the social evolution of a set of agents/artificial societies. In this model, each agent (artificial society) has an available number of social behaviours that compete among each other. The agent/agent interactions are carried out by their social otherwise, the agent/environment interactions are expressed through the consumption of ecological resources in repression and satisfaction by social behaviours of the agent. In this work, we will present the structure and the formulation of our model. This model can capture emergent social phenomena such as globalization and polarization, and it can help to understand the social migration process. Copyright © 2013 John Wiley & Sons, Ltd.