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Understanding agent-based computational simulation

In: How Do I Develop an Agent-Based Model?

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Abstract

This chapter covers some of the main topics in ontology and epistemology of an ABM approach to science. The first part of the chapter introduces the main issues in defining what a model is and what it can do, by ending with the peculiarities of computational models as epistemic tools. The chapter then presents an overview of complexity, by also defining systems and the most important property of complex social systems, i.e. emergence. The conclusion is a very succinct perspective on classic ontological and epistemological stances as they relate to manipulative abduction, that best describes ABM as an approach rather than just a tool.

Suggested Citation

  • ., 2022. "Understanding agent-based computational simulation," Chapters, in: How Do I Develop an Agent-Based Model?, chapter 2, pages 20-51, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:19666_2
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    Cited by:

    1. Onovbiona, Harlee & Mapes, Ayla R. & Quetsch, Lauren B. & Theodorou, Laurie L. & McNeil, Cheryl B., 2023. "Parent-child interaction therapy for children in foster care and children with posttraumatic stress: Exploring behavioral outcomes and graduation rates in a large state-wide sample," Children and Youth Services Review, Elsevier, vol. 145(C).
    2. Aghahosseini, Arman & Solomon, A.A. & Breyer, Christian & Pregger, Thomas & Simon, Sonja & Strachan, Peter & Jäger-Waldau, Arnulf, 2023. "Energy system transition pathways to meet the global electricity demand for ambitious climate targets and cost competitiveness," Applied Energy, Elsevier, vol. 331(C).
    3. Kovárník Richard & Staňková Michaela, 2023. "Efficiency of the Automotive Industry in the Visegrad Group," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 12-23, January.

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