Notes from the field: Practical considerations for agent‐based and continuous representations of system dynamics

Abstract In this paper, we consider how to leverage the complementary characteristics of agent‐based and stock‐flow representations to maximize the utility of systems modelling at acceptable cost and complexity. The increasing capability of tools available for dynamic modelling renders a wide range of structures that could be implemented in models of complex systems. However, attendant with this analytic capacity is the challenge of choosing between alternative model structures. To assist dynamic modellers in designing projects and selecting techniques appropriate for the problem at hand, this paper poses a set of practical considerations for implementing agent‐based and continuous representations that encode differential equations using stock‐flow structures. Drawing from our collective experiences implementing system dynamics models with different structural forms, we offer recommendations for maintaining a systemic perspective while being open to a multi‐method modelling process.

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Publication Details

Journal
Systems Research and Behavioral Science
Published
2024-10-31
DOI
https://doi.org/10.1002/sres.3093
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
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article

Notes from the field: Practical considerations for agent‐based and continuous representations of system dynamics

Sara S. Metcalf, Lyle E. Wallis, Mark Paich
Systems Research and Behavioral Science
Complex Systems and Decision Making
article

Notes from the field: Practical considerations for agent‐based and continuous representations of system dynamics

Sara S. Metcalf, Lyle E. Wallis, Mark Paich
article en

Abstract

Abstract In this paper, we consider how to leverage the complementary characteristics of agent‐based and stock‐flow representations to maximize the utility of systems modelling at acceptable cost and complexity. The increasing capability of tools available for dynamic modelling renders a wide range of structures that could be implemented in models of complex systems. However, attendant with this analytic capacity is the challenge of choosing between alternative model structures. To assist dynamic modellers in designing projects and selecting techniques appropriate for the problem at hand, this paper poses a set of practical considerations for implementing agent‐based and continuous representations that encode differential equations using stock‐flow structures. Drawing from our collective experiences implementing system dynamics models with different structural forms, we offer recommendations for maintaining a systemic perspective while being open to a multi‐method modelling process.

Systems Research and Behavioral ScienceVol. 42(6)
University at Buffalo, State University of New York (US)
Openalex Percentile: Top 76%
Complex Systems and Decision Making
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