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Annual Conference of the Japanese Society for Artificial Intelligence

JSAI 2001: New Frontiers in Artificial Intelligence pp 121–131Cite as

U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2253))

Abstract

U-Mart is an interdisciplinary research program of agent-based artificial market. U-Mart proposes an open-type test bed to study trading strategies of agents, behavior of the market and their relationship. An experiment open to public (Pre U-Mart 2000) using the proposed system is held in August 2000. More than 40 software agents (computer programs for trading) from 11 teams participated in this experiment. This paper reports the outline of the experiment, the trading strategies of the participated agents and the results of the experiment. While Pre U-Mart 2000 treated only software agents, the U-Mart system is designed considering participation of the human players as well as the software agents. A gaming simulation by human using the U-Mart system held in Kyoto University is also introduced briefly.

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References

  1. Koichi Kurumatani, Yuhsuke Koyama, Takao Terano, Hajime Kita, Akira Namatame, Hiroshi Deguchi, Yoshinori Shiozawa and Hitoshi Matsubara (2000): U-Mart: A Virtual Stock Market as a Forum for Market Structure Analysis and Engineering, in Proc. 5th Joint Conference on Information Science (JCIS’00), 1st Int’l Workshop on Computational Intelligence in onomics and Finance, Vol. 2, pp. 957–960

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  2. H. Satoh, M. Kubo, R. Fukumoto, Y. Hirooka and A. Namatame (2000): System Structure of an Artificial Market, J. of Japanese Society for Artificial Intelligence, Vol. 15, No. 6, pp. 974–981 (in Japanese)

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  3. John J. Murphy (1999): Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications, Prentice Hall Press

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, National Defence Academy, Hashirimizu 1-10-20, Yokosuka, Kanagawa, Japan

    Hiroshi Sato

  2. Graduate School of Economics, Kyoto University, Japan

    Hiroyuki Matsui & Hiroshi Deguchi

  3. Faculty of Engineering, University of Tokushima, Japan

    Isao Ono

  4. National Institution for Academic Degrees, Japan

    Hajime Kita

  5. Graduate School of Systems Management, University of Tsukuba, Tokyo

    Takao Terano

  6. Faculty of Economics, Osaka City University, Japan

    Yoshinori Shiozawa

Authors
  1. Hiroshi Sato
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  2. Hiroyuki Matsui
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  3. Isao Ono
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  4. Hajime Kita
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  5. Takao Terano
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  6. Hiroshi Deguchi
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  7. Yoshinori Shiozawa
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Editor information

Editors and Affiliations

  1. Graduate School of Business Science, The University of Tsukuba, Tokyo

    Takao Terano  & Yukio Ohsawa  & 

  2. School of Engineering, The University of Tokyo, Tokyo

    Toyoaki Nishida

  3. Dept.of Computer Science, National Defense Academy, Japan

    Akira Namatame

  4. School of Medicines, Shimane Medical University, Japan

    Syusaku Tsumoto

  5. The Institute of Scientific and Industrial Research, Osaka University, Osaka

    Takashi Washio

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sato, H. et al. (2001). U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_15

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  • DOI: https://doi.org/10.1007/3-540-45548-5_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43070-4

  • Online ISBN: 978-3-540-45548-6

  • eBook Packages: Springer Book Archive

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