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

Seung Hyun Lee; Han Saem Park; Sung Bae Cho

doi:10.1109/CEC.2010.5586525

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

Seung Hyun Lee, Han Saem Park, Sung Bae Cho

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (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 language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
DOIs	https://doi.org/10.1109/CEC.2010.5586525
Publication status	Published - 2010
Event	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 - Barcelona, Spain Duration: 2010 Jul 18 → 2010 Jul 23

Publication series

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

Other

Other	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
Country/Territory	Spain
City	Barcelona
Period	10/7/18 → 10/7/23

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Applied Mathematics

Access to Document

10.1109/CEC.2010.5586525

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 Article 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

Lee, Seung Hyun ; Park, Han Saem ; Cho, Sung Bae. / Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 2010. (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010).

@inproceedings{b0e76058ee534ddba900d973d25bcbd5,

title = "Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory",

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.",

author = "Lee, {Seung Hyun} and Park, {Han Saem} and Cho, {Sung Bae}",

year = "2010",

doi = "10.1109/CEC.2010.5586525",

language = "English",

isbn = "9781424469109",

series = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010",

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010",

note = "2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 ; Conference date: 18-07-2010 Through 23-07-2010",

}

Lee, SH, Park, HS & Cho, SB 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, 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, Barcelona, Spain, 10/7/18. https://doi.org/10.1109/CEC.2010.5586525

Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory. / Lee, Seung Hyun; Park, Han Saem; Cho, Sung Bae.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. 2010. 5586525 (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Lee SH, Park HS, Cho SB. 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. 2010. 5586525. (2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010). doi: 10.1109/CEC.2010.5586525

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

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