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A Rule-based Modal Framework for Causal Reasoning

delete2026-04-07
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PRE
AI
L
Lorini, Emiliano *
DOI:10.1613/jair.1.18960delete
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Abstract

Abstract

En 中文
We present a novel rule-based semantics for causal reasoning as well as a number of modal languages interpreted over it. They enable us to represent some fundamental concepts in the theory of causality including causal necessity, causal necessity post-intervention and causal counterfactuals. We provide complexity results for the satisfiability checking and model checking problems for these modal languages. Moreover, we study the relationship between our rule-based semantics and the structural equation modeling (SEM) approach to causal reasoning. Finally, we use our semantics to elucidate the relationship between causal counterfactuals and belief change.
Keywords:
LOGIC
CONTRACTION
COMPLEXITY
RESPONSIBILITY

Journal

Journal of Artificial Intelligence Research cover
Journal of Artificial Intelligence Research
IF:
4
Papers:
40
Citations:
9.0K

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279