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MAIA: a Framework for Developing Agent-Based Social Simulations

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Abstract

In this paper we introduce and motivate a conceptualization framework for agent-based social simulation, MAIA: Modelling Agent systems based on Institutional Analysis. The MAIA framework is based on Ostrom's Institutional Analysis and Development framework, and provides an extensive set of modelling concepts that is rich enough to capture a large range of complex social phenomena. Developing advanced agent-based models requires substantial experience and knowledge of software development knowledge and skills. MAIA has been developed to help modellers who are unfamiliar with software development to conceptualize and implement agent-based models. It provides the foundation for a conceptualization procedure that guides modellers to adequately capture, analyse, and understand the domain of application, and helps them report explicitly on the motivations behind modelling choices. A web-based application supports conceptualization with MAIA, and outputs an XML file which is used to generate Java code for an executable simulation.

Suggested Citation

  • Amineh Ghorbani & Pieter Bots & Virginia Dignum & Gerard Dijkema, 2013. "MAIA: a Framework for Developing Agent-Based Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-9.
    • Handle: RePEc:jas:jasssj:2012-61-3
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    Cited by:

    1. Shaun Gallagher & Antonio Mastrogiorgio, 2024. "Economic interactions that are beyond simulation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(3), pages 553-577, July.
    2. Moncada, J.A. & Junginger, M. & Lukszo, Z. & Faaij, A. & Weijnen, M., 2017. "Exploring path dependence, policy interactions, and actor behavior in the German biodiesel supply chain," Applied Energy, Elsevier, vol. 195(C), pages 370-381.
    3. Amineh Ghorbani & Gerard Dijkema & Noortje Schrauwen, 2015. "Structuring Qualitative Data for Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-2.
    4. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    5. Gomes, Sharlene L. & Hermans, Leon M. & Thissen, Wil A.H., 2018. "Extending community operational research to address institutional aspects of societal problems: Experiences from peri-urban Bangladesh," European Journal of Operational Research, Elsevier, vol. 268(3), pages 904-917.
    6. Arthur Feinberg & Elena Hooijschuur & Nicole Rogge & Amineh Ghorbani & Paulien Herder, 2021. "Sustaining Collective Action in Urban Community Gardens," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(3), pages 1-3.
    7. Bruno Bonté & Stefano Farolfi & Nils Ferrand & Géraldine Abrami & Mamadou Ciss Diallo & Dimitri Dubois & Anne Johannet & Nils Ferrand, 2019. "Building new kinds of meta-models to analyse experimentally (companion) modelling processes in the field of natural resource management," Post-Print hal-02277141, HAL.
    8. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.
    9. Lee, Ju-Sung & Filatova, Tatiana & Ligmann-Zielinska, Arika & Hassani-Mahmooei, Behrooz & Stonedahl, Forrest & Lorscheid, Iris & Voinov, Alexey & Polhill, J. Gareth & Sun, Zhanli & Parker, Dawn C., 2015. "The complexities of agent-based modeling output analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(4).
    10. Ghorbani, Amineh & Ho, Peter & Bravo, Giangiacomo, 2021. "Institutional form versus function in a common property context: The credibility thesis tested through an agent-based model," Land Use Policy, Elsevier, vol. 102(C).
    11. Woi Sok Oh & David J Yu & Rachata Muneepeerakul, 2021. "Efficiency-fairness trade-offs in evacuation management of urban floods: The effects of the shelter capacity and zone prioritization," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.

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