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Why do we need Ontology for Agent-Based Models?

In: Complexity and Artificial Markets

Author

Listed:
  • Pierre Livet

    (CNRS & Université de Provence)

  • Denis Phan

    (CNRS & University Paris IV – Sorbonne)

  • Lena Sanders

    (CNRS & Université Paris 1 & Université Paris 7)

Abstract

The aim of this paper is to stress some ontological and methodological issues for Agent-Based Model (ABM) building, exploration, and evaluation in the Social and Human Sciences. Two particular domain of interest are to compare ABM and simulations (Model To Model) within a given academic field or across different disciplines and to use ontology for to discuss about the epistemic and methodological consequences of modeling choices. The paper starts with some definitions of ontology in philosophy and computer sciences. The implicit and different ontology which underlies the approach of a same object of interest are discussed in the case of spatial economists and geographers. Finally, using the case of Shelling’s model, we discuss the concept of “ontological test,” and raise the question of the ontological compatibility between the “model world” and the “real world.”

Suggested Citation

  • Pierre Livet & Denis Phan & Lena Sanders, 2008. "Why do we need Ontology for Agent-Based Models?," Lecture Notes in Economics and Mathematical Systems, in: Klaus Schredelseker & Florian Hauser (ed.), Complexity and Artificial Markets, chapter 11, pages 133-145, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-70556-7_11
    DOI: 10.1007/978-3-540-70556-7_11
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    Citations

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    Cited by:

    1. Anna Rohde-Lütje & Volker Wohlgemuth, 2020. "Recurring Patterns and Blueprints of Industrial Symbioses as Structural Units for an IT Tool," Sustainability, MDPI, vol. 12(19), pages 1-21, October.
    2. Pierre Livet & Jean-Pierre Muller & Denis Phan & Lena Sanders, 2010. "Ontology, a Mediator for Agent-Based Modeling in Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-3.
    3. Denis Phan & Franck Varenne, 2010. "Agent-Based Models and Simulations in Economics and Social Sciences: From Conceptual Exploration to Distinct Ways of Experimenting," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-5.
    4. Huber, Robert & Bakker, Martha & Balmann, Alfons & Berger, Thomas & Bithell, Mike & Brown, Calum & Grêt-Regamey, Adrienne & Xiong, Hang & Le, Quang Bao & Mack, Gabriele & Meyfroidt, Patrick & Millingt, 2018. "Representation of decision-making in European agricultural agent-based models," Agricultural Systems, Elsevier, vol. 167(C), pages 143-160.

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