Howick, S., Megiddo, I., Nguyen, L. K. N., Wurth, B. and Kazakov, R. (2023) Combining SD & ABM: Frameworks, benefits, challenges, and future re-search directions. In: Fakhimi, M. and Mustafee, N. (eds.) Hybrid Modelling and Simulation: Conceptualizations, Methods, and Applications. Springer. (Accepted for Publication)
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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 insuffi-cient 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 devel-opment 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.
Item Type: | Book Sections |
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Additional Information: | LN and IM were supported by the National Institute for Health Research (Policy Research Programme, Responsive Operational Research Facility, PR-R17-0916-21002). |
Keywords: | System dynamics, agent based modelling, hybrid simulation frameworks, hybrid simulation designs. |
Status: | Accepted for Publication |
Glasgow Author(s) Enlighten ID: | Wurth, Dr Bernd |
Authors: | Howick, S., Megiddo, I., Nguyen, L. K. N., Wurth, B., and Kazakov, R. |
College/School: | College of Social Sciences > Adam Smith Business School > Management |
Publisher: | Springer |
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