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AAAI 2015

Pearl’s Causality in a Logical Setting

Conference Paper Papers Artificial Intelligence

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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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
48724693247345678
v2026.09.13