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An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation
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Defines an algebraic, operator-based notion of conditional independence for lattices and approximation operators, derives modular fixpoint and FPT results, and applies it to normal logic programs.
Problem
Conditional independence is well studied in probability and for specific KR formalisms (propositional logic, belief revision, conditional logics) but lacks a language-independent operator-based account that enables modular reasoning over fixpoint semantics.
Approach
Define conditional independence of sub-lattices w.r.t. an operator on a product lattice, so the operator decomposes into two component operators over pivot-plus-one-side sub-lattices; lift this to approximation operators and stable/well-founded fixpoints, and organize decompositions into conditional independence trees whose size parametrizes FPT algorithms.
Key results
- Shows that fixpoints (Kripke-Kleene, stable, well-founded) of an approximation operator with conditional independence decompose into fixpoints of component operators over sub-lattices.
- Proves the least fixpoint and well-founded fixpoint can be computed in FPT time parameterized by CIT-size, under NP-oracle assumptions for the operator.
- Shows a syntactic sufficient criterion (graph separation plus stratification) for conditional independence in normal logic programs.
Surprising findings
- Symmetry holds but decomposition and weak union do not hold for the proposed notion of conditional independence.
- Naive graph separation in the dependency graph is not sufficient for conditional independence in normal logic programs.
Limitations
- No experimental evaluation of computational gains.
- Complexity of computing CIT-partition-size and detecting conditional independence is not addressed in general.
- Application is restricted to normal logic programs; other formalisms are left for future work.
Experimental setup
Builds on: approximation fixpoint theory stratification in AFT Darwiche's logical conditional independence
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