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Markus Schwaninger
Former Member
Title
Prof. em. Dr.
Last Name
Schwaninger
First name
Markus
Email
markus.schwaninger@unisg.ch
Phone
+41 71 224 2382
Now showing
1 - 6 of 6
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PublicationType: journal articleJournal: Systems Research and Behavioral ScienceVolume: 39DOI: 10.1002/sres.2826
Scopus© Citations 3 -
PublicationStructural Analysis of System Dynamics Models( 2021)
Scopus© Citations 12 -
PublicationType: journal articleJournal: Systems Research and Behavioral ScienceVolume: 39Issue: 1DOI: 10.1002/sres.2826
Scopus© Citations 3 -
PublicationThe challenge of model complexity: improving the interpretation of large causal models through variety filters(Wiley Interscience, 2017-04)
Scopus© Citations 3 -
PublicationTowards the algorithmic detection of archetypal structures in system dynamicsTraditionally, 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.
Scopus© Citations 7 -
PublicationType: book section