Curie’s principle and causal graphs |
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| Authors: | David Kinney |
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| Institution: | 1. Department of Philosophy and Religion, Northeastern University, 360 Huntington Ave, 413 Renaissance Park, Boston, MA, 02115, USA;2. Department of Philosophy, Dartmouth College, 6035 Thornton Hall, 19 College St, Hanover, NH, 03755, USA;1. Department of History, Southern Connecticut State University, USA;2. Department of Emergency Management & Disaster Science University of North Texas, USA;1. University College London, Gower Street, London, WC1E 6BT, United Kingdom;2. Technical University Berlin, Straße des 17. Juni 135 10623 Berlin, Germany |
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| Abstract: | Curie’s Principle says that any symmetry property of a cause must be found in its effect. In this article, I consider Curie’s Principle from the point of view of graphical causal models, and demonstrate that, under one definition of a symmetry transformation, the causal modeling framework does not require anything like Curie’s Principle to be true. On another definition of a symmetry transformation, the graphical causal modeling formalism does imply a version of Curie’s Principle. These results yield a better understanding of the logical landscape with respect to the relationship between Curie’s Principle and graphical causal modeling. |
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| Keywords: | Markov condition Causal graphs Curie’s Principle Symmetry Causation |
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