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Analyzing The Agent-Based Model And Its Implications

Author

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  • YUTAKA I. LEON SUEMATSU

    (ATR Human Information Science Labs., 2-2-2 Hikari-dai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan;
    Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

  • KEIKI TAKADAMA

    (ATR Human Information Science Labs., 2-2-2 Hikari-dai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan;
    Interdisciplinary Graduate School of Science and Engineering, Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8502, Japan)

  • NORBERTO E. NAWA

    (ATR Human Information Science Labs., 2-2-2 Hikari-dai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan;
    Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

  • KATSUNORI SHIMOHARA

    (ATR Human Information Science Labs., 2-2-2 Hikari-dai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan;
    Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

  • OSAMU KATAI

    (Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

Abstract

Agent-based models (ABMs) have been attracting the attention of researchers in the social sciences, becoming a prominent paradigm in the study of complex social systems. Although a great number of models have been proposed for studying a variety of social phenomena, no general agent design methodology is available. Moreover, it is difficult to validate the accuracy of these models. For this reason, we believe that some guidelines for ABMs design must be devised; therefore, this paper is a first attempt to analyze the levels of ABMs, identify and classify several aspects that should be considered when designing ABMs. Through our analysis, the following implications have been found: (1) there are two levels in designing ABMs: theindividual level, related to the design of the agents' internal structure, and thecollective level, which concerns the design of the agent society or macro-dynamics of the model; and (2) the mechanisms of these levels strongly affect the outcomes of the models.

Suggested Citation

  • Yutaka I. Leon Suematsu & Keiki Takadama & Norberto E. Nawa & Katsunori Shimohara & Osamu Katai, 2003. "Analyzing The Agent-Based Model And Its Implications," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 331-347.
    • Handle: RePEc:wsi:acsxxx:v:06:y:2003:i:03:n:s0219525903000918
    DOI: 10.1142/S0219525903000918
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    References listed on IDEAS

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