Multiple Models, One Explanation

J. Korbmacher, Chiara Lisciandra

Research output: Contribution to conferencePaperAcademic


Complex phenomena often require complex explanations. In simple cases, a single model can explain a phenomenon, but fully to explain a complex phenomenon, we often require systems of models. In this paper, we consider how to combine models that differ from each other along multiple lines, for instance, in the way they represent a phenomenon or the variables they include. We provide an interpretation of such situations in terms of structural realism. We focus on the conditions that allow scientists to compare different models so as to combine their results and obtain new knowledge claims.
Original languageEnglish
Number of pages13
Publication statusPublished - 2018
EventMultiple Models - TINT, University of Helsinki, Helsinki, Finland
Duration: 2 Oct 20183 Oct 2018


WorkshopMultiple Models
Internet address


  • Robustness analysis
  • multiple models
  • Lotka-Volterra model
  • structuralrealism


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