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

Seung Hyun Lee, Han Saem Park, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
DOIs
Publication statusPublished - 2010
Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 - Barcelona, Spain
Duration: 2010 Jul 182010 Jul 23

Publication series

Name2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Other

Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
CountrySpain
CityBarcelona
Period10/7/1810/7/23

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory'. Together they form a unique fingerprint.

  • Cite this

    Lee, S. H., Park, H. S., & Cho, S. B. (2010). Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 [5586525] (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010). https://doi.org/10.1109/CEC.2010.5586525