Research map / Probabilistic and scientific modeling / Causal discovery
A Variable Occurrence-Centric Framework for Inconsistency Handling
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Proposes a syntactic, variable-occurrence-based framework for propositional inconsistency (MIRs and MCRs with dual properties), using them to define non-explosive inference relations and an occurrence-based semantics.
Problem
Classical propositional bases become uninformative under inconsistency; existing syntactic approaches (MISes, MCSes) ignore the internal syntactic structure of formulas, missing conflicts involving specific variable occurrences.
Approach
Treat conflicts as equivalence relations on variable occurrences: minimal inconsistency relations (MIRs) capture conflicts, maximal consistency relations (MCRs) describe ways to restore consistency by renaming occurrences rather than dropping formulas; MCR-based inference relations retain all formulas and variables, and an occurrence-based semantics assigns truth values to occurrences.
Key results
- Proves a duality theorem: MCRs are maximal hitting-set complements of MIRs and vice versa, analogous to MIS/MCS duality.
- Shows the MCR-based inference relations are strictly ordered in cautiousness and that the cautious relation of MCRs is contained in LPm consequence (Theorem 4: K |-o1 phi implies K |-LPm phi).
- Shows that for consistent bases all four MCR-based inference relations coincide with classical inference (Proposition 7).
Surprising findings
- MIRs can capture conflicts that MISes miss; e.g., in {p∧q, ¬p∧r, ¬q∨¬r} there is one MIS but two O-MISes.
- The MCR-based inference relation |-o1 is not contained in LPm consequence for some cases, i.e., the frameworks are incomparable in one direction.
Limitations
- Computational complexity of MIRs, MCRs and the inference relations is not yet studied.
- Framework restricted to classical propositional logic; extension to non-classical logics is future work.
Experimental setup
Baselines: MCS-based inference relations LPm (Minimally Inconsistent Logic of Paradox) Forgetting-based inconsistency measure (Besnard 2016)
Builds on: Maximal consistent subsets (Rescher and Manor inference) Minimal inconsistent subsets / minimal hitting set duality (Reiter) Forgetting-based repair (Besnard 2016) Logic of Paradox (LPm) (Priest 1991)
Closest papers by meaning
- Measuring Strong Inconsistency (AAAI 2018 · similarity 0.89)
- Germane Conflicts: Desirable Properties for Localising Inconsistency (AAAI 2025 · similarity 0.87)
- Logical Consistency of Large Language Models in Fact-Checking (ICLR 2025 · similarity 0.86)
- Nuance Matters: Probing Epistemic Consistency in Causal Reasoning (AAAI 2025 · similarity 0.85)
- Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases (AAAI 2025 · similarity 0.85)
- An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships (AAAI 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
