A Perspective on Agent-Based Modeling in Social System Analysis

Takao Terano ()
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Takao Terano: Chiba University of Commerce

Chapter 13 in Handbook of Systems Sciences, 2021, pp 353-365 from Springer

Abstract: 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.

Keywords: Complex systems; Agent-based modeling; Agent-based simulation; Social system analysis; Roles of simulation (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-0720-5_5

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DOI: 10.1007/978-981-15-0720-5_5

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