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The Design of Participatory Agent-Based Social Simulations

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Abstract

It is becoming widely accepted that applied social simulation research is more effective if potential users and stakeholders are closely involved in model specification, design, testing and use, using the principles of participatory research. In this paper, a review of software engineering principles and accounts of the development of simulation models are used as the basis for recommendations about some useful techniques that can aid in the development of agent-based social simulation models in conjunction with users. The authors' experience with scenario analysis, joint analysis of design workshops, prototyping and user panels in a collaborative participatory project is described and, in combination with reviews from other participatory projects, is used to suggest how these techniques might be used in simulation-based research.

Suggested Citation

  • Ana Maria Ramanath & Nigel Gilbert, 2004. "The Design of Participatory Agent-Based Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(4), pages 1-1.
    • Handle: RePEc:jas:jasssj:2003-33-3
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    Cited by:

    1. Nicola Lettieri, 2016. "Computational Social Science, the Evolution of Policy Design and Rule Making in Smart Societies," Future Internet, MDPI, vol. 8(2), pages 1-17, May.
    2. Martin Meister & Kay Schröter & Diemo Urbig & Eric Lettkemann & Hans-Dieter Burkhard & Werner Rammert, 2007. "Construction and Evaluation of Social Agents in Hybrid Settings: Approach and Experimental Results of the INKA Project," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-4.
    3. Alexandra S Penn & Christopher J K Knight & David J B Lloyd & Daniele Avitabile & Kasper Kok & Frank Schiller & Amy Woodward & Angela Druckman & Lauren Basson, 2013. "Participatory Development and Analysis of a Fuzzy Cognitive Map of the Establishment of a Bio-Based Economy in the Humber Region," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-14, November.
    4. Happe, Kathrin & Balmann, Alfons, 2008. "Doing Policy In The Lab! Options For The Future Use Of Model-Based Policy Analysis For Complex Decision-Making," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6588, European Association of Agricultural Economists.
    5. Minh Nguyen-Duc & Alexis Drogoul, 2007. "Using Computational Agents to Design Participatory Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-5.
    6. J. Gareth Polhill & Lee-Ann Sutherland & Nicholas M. Gotts, 2010. "Using Qualitative Evidence to Enhance an Agent-Based Modelling System for Studying Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(2), pages 1-10.
    7. Steven Silver & Phillip Cowans, 2009. "Stocks of information in personal consumption: a network model with non-rival borrowing and content overlap," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 115-134, November.
    8. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).

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