Pearl's causality in a logical setting

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Abstract

We provide a logical representation of Pearl's structural causal models in the framework of the causal calculus of McCain and Turner (1997) and its first-order generalization by Lifschitz. It will be shown that, under this representation, the nonmonotonic semantics of the causal calculus describes precisely the solutions of the structural equations (the causal worlds of a causal model), while the causal logic from Bochman (2004) is adequate for describing the behavior of causal models under interventions (forming submodels).

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Bochman, A., & Lifschitz, V. (2015). Pearl’s causality in a logical setting. In Proceedings of the National Conference on Artificial Intelligence (Vol. 2, pp. 1446–1452). AI Access Foundation. https://doi.org/10.1609/aaai.v29i1.9411

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