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New intuitionistic $j$-do-calculus framework extends causal inference

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Researchers have introduced a novel framework called $j$-stable causal inference, which extends Pearl's do-calculus into an intuitionistic setting within a topos of sheaves. This new approach defines causal interventions as subobjects and utilizes a Lawvere-Tierney topology with a modal operator $j$ on the topos's subobject classifier. The $j$-do-calculus replaces global truth with local truth, formalizing causal reasoning through structure-preserving morphisms that are stable along $j$-covers, and is proven to be a sound rule system. AI

RANK_REASON The cluster contains an academic paper detailing a new theoretical framework in causal inference. [lever_c_demoted from research: ic=1 ai=0.4]

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New intuitionistic $j$-do-calculus framework extends causal inference

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The cluster contains an academic paper detailing a new theoretical framework in causal inference. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 (CA) · Sridhar Mahadevan ·

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

    arXiv:2510.17944v2 Announce Type: replace-cross Abstract: In this paper, we generalize Pearl's do-calculus to an Intuitionistic setting called $j$-stable causal inference inside a topos of sheaves. Our framework is an elaboration of the recently proposed framework of Topos Causal…

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