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A Perspective on Agent-Based Modeling in Social System Analysis

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Handbook of Systems Sciences

Abstract

Agent-based modeling (ABM) is one of the cutting-edge techniques to understand various social phenomena from global issues to individual group behaviors. ABM focuses from global phenomena to individuals in the model and tries to observe how individuals with individual characteristics or “agents” will behave as a group. However, the importance of the modeling methodology and techniques of agent simulation have not been common yet even in the academic convergent technology societies. The chapter discusses the principles, strength, and weakness of ABM. The chapter also describes the role of simulation sciences in social system domains and how ABM should be a new standard of such analysis.

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Author information

Authors and Affiliations

  1. Chiba University of Commerce, Chiba, Japan

    Takao Terano

Authors
  1. Takao Terano
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Corresponding author

Correspondence to Takao Terano .

Editor information

Editors and Affiliations

  1. Department of Leadership and Management, Saybrook University, Ashland, KY, USA

    Gary S. Metcalf

  2. Grad Sch of Decision Sci & Tech, Tokyo Institute of Technology Grad Sch of Decision Sci & Tech, Meguro-ku, Tokyo, Japan

    Kyoichi Kijima

  3. CABSSS, Tokyo Institute of Technology CABSSS, Yokohama, Kanagawa, Japan

    Hiroshi Deguchi

Section Editor information

  1. Grad Sch of Decision Sci & Tech, Tokyo Institute of Technology Grad Sch of Decision Sci & Tech, Meguro-ku, Tokyo, Japan

    Kyoichi Kijima

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Terano, T. (2020). A Perspective on Agent-Based Modeling in Social System Analysis. In: Metcalf, G., Kijima, K., Deguchi, H. (eds) Handbook of Systems Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-13-0370-8_5-1

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  • DOI: https://doi.org/10.1007/978-981-13-0370-8_5-1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0370-8

  • Online ISBN: 978-981-13-0370-8

  • eBook Packages: Springer Reference Business and ManagementReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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