Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory

Multi-agent based approach is reasonable and expandable methodology for simulating social phenomenon. In this paper, we simulate a developmental aspect of international trade market using multi-agent based modeling. Evolutionary computation is used to construct adaptive agent model which continuously evolves its trading strategy. Through the experiments, we show that our simulation model effectively reflects tendency of real-world international trade and existing economic research. Particularly, we find interesting result from the analysis of prevalent strategy of agents, and developmental aspects in international trade market.