A Domain-Specific Language to Process Causal Loop Diagrams with R

Adrian Stämpfli ()
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Adrian Stämpfli: University of Applied Sciences St. Gallen

A chapter in Operations Research Proceedings 2019, 2020, pp 651-657 from Springer

Abstract: Abstract Causal Loop Diagrams (CLDs) are a flexible and valuable tool for diagramming the feedback structure of systems. In strategic decision-making and management, we use CLDs to structure and explore complex decision-making situations, to foster learning, as a basis for simulation models, and to communicate simulation results. However, the crucial dissemination of CLDs and the possible learnings beyond the project-team is challenging. To overcome this problem, we developed a Domain-Specific Language that allows modeling experts with little programming experience to generate visual representations of CLDs that (1) replace the most complicated CLD elements with a step-by-step explanation and (2) strive to lower the barriers to learning while addressing a broader target audience.

Keywords: Strategic decision-making; Causal Loop Diagrams; System Dynamics; Domain-Specific Languages; R (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_79

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DOI: 10.1007/978-3-030-48439-2_79

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