Intuitionistic $j$-Do-Calculus in Topos Causal Models
Sridhar Mahadevan

TL;DR
This paper extends Pearl's do-calculus to an intuitionistic setting within topos theory, enabling local truth-based causal reasoning and providing a sound rule system for causal inference in a topos of sheaves.
Contribution
It introduces the $j$-do-calculus in a topos framework, generalizing causal inference with local truth semantics and formalizing stability and inference rules.
Findings
Defined $j$-stability for conditional independences
Proved soundness of $j$-do inference rules
Framework supports local truth-based causal reasoning
Abstract
In this paper, we generalize Pearl's do-calculus to an Intuitionistic setting called -stable causal inference inside a topos of sheaves. Our framework is an elaboration of the recently proposed framework of Topos Causal Models (TCMs), where causal interventions are defined as subobjects. We generalize the original setting of TCM using the Lawvere-Tierney topology on a topos, defined by a modal operator on the subobject classifier . We introduce -do-calculus, where we replace global truth with local truth defined by Kripke-Joyal semantics, and formalize causal reasoning as structure-preserving morphisms that are stable along -covers. -do-calculus is a sound rule system whose premises and conclusions are formulas of the internal Intuitionistic logic of the causal topos. We define -stability for conditional independences and interventional claims as local truth…
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Bayesian Modeling and Causal Inference · Constraint Satisfaction and Optimization
