Combining SD & ABM : frameworks, benefits, challenges, and future research directions
Howick, Susan and Megiddo, Itamar and Nguyen, Le Khanh Ngan and Wurth, Bernd and Kazakov, Rossen; Fakhimi, Masoud and Mustafee, Navonil, eds. (2024) Combining SD & ABM : frameworks, benefits, challenges, and future research directions. In: Hybrid Modeling and Simulation. Springer, Cham, pp. 213-244. ISBN 9783031599996 (https://doi.org/10.1007/978-3-031-59999-6_9)
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Abstract
System Dynamics (SD) and Agent-Based Modelling (ABM) are two commonly used simulation methods with different characteristics and benefits. When tackling a complex problem, the use of one of these methods may be insufficient and, instead, a combination of the two methods in a hybrid simulation may be required. To support modellers in the development of SD-ABM hybrid simulations, this chapter provides a comprehensive overview of methodological and practical considerations. Frameworks are presented to facilitate the implementation of hybrid SD-ABM models including the development of a conceptual SD-ABM hybrid model. The chapter then presents key benefits associated with SD-ABM hybrid modelling, which include being able to model an appropriate level of complexity, facilitate communication of the model design, enhance confidence building and reduce compute intensity. Two case studies are used to illustrate these benefits. Although there are many benefits, there are also key challenges associated with the development of a SD-ABM hybrid model, and these are discussed. The chapter concludes with a discussion of opportunities and areas for future research.
ORCID iDs
Howick, Susan ORCID: https://orcid.org/0000-0002-0796-7981, Megiddo, Itamar ORCID: https://orcid.org/0000-0001-8391-6660, Nguyen, Le Khanh Ngan ORCID: https://orcid.org/0000-0002-6742-6896, Wurth, Bernd ORCID: https://orcid.org/0000-0002-6688-4270 and Kazakov, Rossen ORCID: https://orcid.org/0000-0002-3775-4290; Fakhimi, Masoud and Mustafee, Navonil-
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Item type: Book Section ID code: 87338 Dates: DateEvent24 August 2024Published23 August 2024Published Online18 September 2023AcceptedNotes: Copyright © 2024 Springer-Verlag. This version of the chapter has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. Subjects: Social Sciences > Commerce > Business > Personnel management. Employment management Department: Strathclyde Business School > Management Science
Strathclyde Business School > Hunter Centre for Entrepreneurship, Strategy and InnovationDepositing user: Pure Administrator Date deposited: 15 Nov 2023 16:42 Last modified: 22 Dec 2024 01:09 URI: https://strathprints.strath.ac.uk/id/eprint/87338