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

In: Operations Research Proceedings 2019

Author

Listed:
  • Adrian Stämpfli

    (University of Applied Sciences St. Gallen)

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.

Suggested Citation

  • Adrian Stämpfli, 2020. "A Domain-Specific Language to Process Causal Loop Diagrams with R," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 651-657, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_79
    DOI: 10.1007/978-3-030-48439-2_79
    as

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