Towards the algorithmic detection of archetypal structures in system dynamics

Schoenenberger, Lukas Klaus; Schmid, Alexander; Schwaninger, Markus (2015). Towards the algorithmic detection of archetypal structures in system dynamics System Dynamics Review, 31(1-2), pp. 66-85. Wiley 10.1002/sdr.1526

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Traditionally, model analysis follows qualitative, heuristic, and trial‐and‐error‐driven approaches for testing dynamic hypotheses. Only recently have other methods like loop dominance analysis or control theory been proposed for this purpose. We advocate complementing established qualitative heuristics with a quantitative method for model analysis. To that end, we propose two algorithms to detect Wolstenholme's four generic problem archetypes within models. We tested these algorithms using the Maintenance and World Dynamics models. The approach presented in this paper is a first important step towards the identification of system archetypes in system dynamics and contributes to improving model analysis and diagnosis. Furthermore, our approach goes beyond diagnosis to eliciting solution archetypes, which foster the design and implementation of effective policies.

Item Type:	Journal Article (Original Article)
Division/Institute:	Business School > Institute for Digital Enabling Business School Business School > Institute for Digital Technology Management
Name:	Schoenenberger, Lukas Klaus; Schmid, Alexander and Schwaninger, Markus
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HM Sociology
ISSN:	08837066
Publisher:	Wiley
Language:	English
Submitter:	Alexander Schmid
Date Deposited:	07 Aug 2019 14:07
Last Modified:	07 Aug 2019 14:07
Publisher DOI:	10.1002/sdr.1526
ARBOR DOI:	10.24451/arbor.271
URI:	https://arbor.bfh.ch/id/eprint/271