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Some insights into the emergence of agent-based modelling

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  • B L Heath
  • R R Hill

Abstract

Agent-based modelling (ABM) has become a popular simulation analysis tool and has been used to examine systems from myriad domains. This article re-examines some of the scientific developments in computers, complexity, and systems thinking that helped lead to the emergence of ABM by shedding new light onto some old theories and connecting them to several key ABM principles of today. As it is often the case, examining history can lead to insightful views about the past, present, and the future. Thus, themes from cellular automata and complexity, cybernetics and chaos, and complex adaptive systems are examined and placed in historical context to better establish the application, capabilities, understanding, and future of ABM.

Suggested Citation

  • B L Heath & R R Hill, 2010. "Some insights into the emergence of agent-based modelling," Journal of Simulation, Taylor & Francis Journals, vol. 4(3), pages 163-169, September.
    • Handle: RePEc:taf:tjsmxx:v:4:y:2010:i:3:p:163-169
    DOI: 10.1057/jos.2010.16
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    Cited by:

    1. Zengqing Wu & Run Peng & Xu Han & Shuyuan Zheng & Yixin Zhang & Chuan Xiao, 2023. "Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations," Papers 2311.06330, arXiv.org, revised Dec 2023.

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