Configuring Agents' Attributes with Simulated Annealing

Abstract

In agent-based social simulation aiming at quantitative analysis of real situation faces a problem of deciding agents’ attributes. It has to match the existing data such as social statistics. However, the number of available data is much smaller than the vast degrees of freedom of agents, and therefore agents’ attributes can’t be decided uniquely. For this problem, the authors propose a formulation of attribute decision problem as a constrained optimization. In this paper, we show estimation of future population with an individual-based model as an example of the proposed method.Agent-Based Approaches in Economic and Social Complex Systems VII: Post-Proceedings of The AESCS International Workshop 201