The PC Algorithm and the Inference to Constitution

British Journal for the Philosophy of Science 74 (2):405-429 (2023)
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Abstract

Gebharter has proposed using one of the best known Bayesian network causal discovery algorithms, PC, to identify the constitutive dependencies underwriting mechanistic explanations. His proposal assumes that mechanistic constitution behaves like deterministic direct causation, such that PC is directly applicable to mixed variable sets featuring both causal and constitutive dependencies. Gebharter claims that such mixed sets, under certain restrictions, comply with PC’s background assumptions. The aim of this article is to show that Gebharter’s proposal incurs severe problems, ultimately rooted in the widespread non-compliance of mechanistic systems with PC’s assumptions. This casts severe doubts on the attempt to implicitly define constitution as a form of deterministic direct causation complying with PC’s assumptions.

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Author Profiles

Lorenzo Casini
IMT School for Advanced Studies, Lucca
Michael Baumgartner
Bergen University

Citations of this work

Causal modeling in multilevel settings: A new proposal.Thomas Blanchard & Andreas Hüttemann - forthcoming - Philosophy and Phenomenological Research.

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References found in this work

Thinking about mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
Explanation: a mechanist alternative.William Bechtel & Adele Abrahamsen - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):421-441.
Rethinking mechanistic explanation.Stuart Glennan - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S342-353.

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