Resolution for quantified Boolean formulas
Information and Computation
An Algorithm to Evaluate Quantified Boolean Formulae and Its Experimental Evaluation
Journal of Automated Reasoning
Conflict driven learning in a quantified Boolean Satisfiability solver
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Validating the result of a Quantified Boolean Formula (QBF) solver: theory and practice
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Combinatorial sketching for finite programs
Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
Interactive presentation: Automatic hardware synthesis from specifications: a case study
Proceedings of the conference on Design, automation and test in Europe
Clause/term resolution and learning in the evaluation of quantified Boolean formulas
Journal of Artificial Intelligence Research
Constructing conditional plans by a theorem-prover
Journal of Artificial Intelligence Research
Extracting certificates from quantified boolean formulas
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Evaluating and certifying QBFs: A comparison of state-of-the-art tools
AI Communications
Interpolating functions from large Boolean relations
Proceedings of the 2009 International Conference on Computer-Aided Design
A first step towards a unified proof checker for QBF
SAT'07 Proceedings of the 10th international conference on Theory and applications of satisfiability testing
Fault localization and correction with QBF
SAT'07 Proceedings of the 10th international conference on Theory and applications of satisfiability testing
Resolution proofs and Skolem functions in QBF evaluation and applications
CAV'11 Proceedings of the 23rd international conference on Computer aided verification
Bounded model checking with QBF
SAT'05 Proceedings of the 8th international conference on Theory and Applications of Satisfiability Testing
Henkin quantifiers and boolean formulae
SAT'12 Proceedings of the 15th international conference on Theory and Applications of Satisfiability Testing
On propositional QBF expansions and q-resolution
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
Efficient clause learning for quantified boolean formulas via QBF pseudo unit propagation
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
Quantified maximum satisfiability: a core-guided approach
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
Nested boolean functions as models for quantified boolean formulas
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
Henkin quantifiers and Boolean formulae: A certification perspective of DQBF
Theoretical Computer Science
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Quantified Boolean formulae (QBF) allow compact encoding of many decision problems. Their importance motivated the development of fast QBF solvers. Certifying the results of a QBF solver not only ensures correctness, but also enables certain synthesis and verification tasks. To date the certificate of a true formula can be in the form of either a syntactic cube-resolution proof or a semantic Skolem-function model whereas that of a false formula is only in the form of a syntactic clause-resolution proof. The semantic certificate for a false QBF is missing, and the syntactic and semantic certificates are somewhat unrelated. This paper identifies the missing Herbrand-function countermodel for false QBF, and strengthens the connection between syntactic and semantic certificates by showing that, given a true QBF, its Skolem-function model is derivable from its cube-resolution proof of satisfiability as well as from its clause-resolution proof of unsatisfiability under formula negation. Consequently Skolem-function derivation can be decoupled from special Skolemization-based solvers and computed from standard search-based ones. Experimental results show strong benefits of the new method.