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- W3134865142 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." @default.
- W3134865142 created "2021-03-15" @default.
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- W3134865142 date "2021-06-01" @default.
- W3134865142 modified "2023-09-27" @default.
- W3134865142 title "Curie’s principle and causal graphs" @default.
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- W3134865142 doi "https://doi.org/10.1016/j.shpsa.2021.02.007" @default.
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