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Agent-Based Modelling: The Next 15 Years

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Abstract

This short note makes recommendations for the future direction of research in agent-based modelling (ABM). It is a personal view based on my experience as a policy adviser who has recently come to ABM. I suggest that to promote the use of ABM, the ABM community needs demonstrate the value of modelling to other social scientists by showing-by-doing and offering training projects; and to produce tools, guidance on good-practice and basic building blocks. Then the policy contexts most likely to benefit from ABM need to be identified along with any new data requirements, so that the usefulness of ABM can be demonstrated to policy analysts. This is, in my view, the challenge facing the ABM community for the next 15 years.

Suggested Citation

  • Lynne Hamill, 2010. "Agent-Based Modelling: The Next 15 Years," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 1-7.
  • Handle: RePEc:jas:jasssj:2010-35-1
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    File URL: http://jasss.soc.surrey.ac.uk/13/4/7/7.pdf
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    Cited by:

    1. Gnidchenko, Andrey, 2011. "Моделирование Технологических И Институциональных Эффектов В Макроэкономическом Прогнозировании
      [Technological and Institutional Effects Modeling in Macroeconomic Forecasting]
      ," MPRA Paper 35484, University Library of Munich, Germany, revised May 2011.
    2. Andriamasinoro, Fenintsoa & Angel, Jean-Michel, 2012. "Artisanal and small-scale gold mining in Burkina Faso: Suggestion of multi-agent methodology as a complementary support in elaborating a policy," Resources Policy, Elsevier, vol. 37(3), pages 385-396.
    3. Martin Neumann & Andreas Braun & Eva-Maria Heinke & Mehdi Saqalli & Armano Srbljinovic, 2011. "Challenges in Modelling Social Conflicts: Grappling with Polysemy," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(3), pages 1-9.

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    Keywords

    Agent-Based Modelling; NetLogo; Policy Advice;

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