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Research map / Learning theory and algorithms / Combinatorial and search optimization

Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula

AAAI 2022 · Learning theory and algorithms › Combinatorial and search optimization · approach: SAT and model counting solvers · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use lifted interpretations to formulate closed-form model countingUniversally quantified FO2 · FO2domain-liftabilityHelped
Add combinatorial cardinality constraints over unary and binary predicatesLifted-interpretation model counting · FO2 with cardinality constraintsdomain-liftabilityHelped
Apply inclusion-exclusion to handle existential quantifiers and counting quantifiersLifted-interpretation model counting · FO2 with existential quantifiers and C2domain-liftabilityHelped
Define weights over lifted type-count vectors instead of restricting to symmetric weightsWeighted model counting for FO2 · FO2 count distributionsexpressivityHelped

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