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Satisfiability solvers
Publisher Summary The past few years have seen enormous progress in the performance of
Boolean satisfiability (SAT) solvers. Despite the worst-case exponential run time of all known …
Boolean satisfiability (SAT) solvers. Despite the worst-case exponential run time of all known …
[LIVRE][B] Handbook of knowledge representation
Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Effective preprocessing in SAT through variable and clause elimination
Preprocessing SAT instances can reduce their size considerably. We combine variable
elimination with subsumption and self-subsuming resolution, and show that these …
elimination with subsumption and self-subsuming resolution, and show that these …
Conflict driven learning in a quantified Boolean satisfiability solver
Within the verification community, there has been a recent increase in interest in Quantified
Boolean Formula evaluation (QBF) as many interesting sequential circuit verification …
Boolean Formula evaluation (QBF) as many interesting sequential circuit verification …
DepQBF: A dependency-aware QBF solver
Abstract We present DepQBF 0.1, a new search-based solver for quantified boolean
formulae (QBF). It integrates compact dependency graphs to overcome the restrictions …
formulae (QBF). It integrates compact dependency graphs to overcome the restrictions …
Quantified boolean formulas
Solvers for quantified Boolean formulas (QBF) have become powerful tools for tackling hard
computational problems from various application domains, even beyond the scope of SAT …
computational problems from various application domains, even beyond the scope of SAT …
Logic-based ontology comparison and module extraction, with an application to DL-Lite
We develop a formal framework for comparing different versions of ontologies, and apply it
to ontologies formulated in terms of DL-Lite, a family of 'lightweight'description logics …
to ontologies formulated in terms of DL-Lite, a family of 'lightweight'description logics …
DepQBF 6.0: A Search-Based QBF Solver Beyond Traditional QCDCL
F Lonsing, U Egly - Automated Deduction–CADE 26: 26th International …, 2017 - Springer
We present the latest major release version 6.0 of the quantified Boolean formula (QBF)
solver DepQBF, which is based on QCDCL. QCDCL is an extension of the conflict-driven …
solver DepQBF, which is based on QCDCL. QCDCL is an extension of the conflict-driven …
Clause/term resolution and learning in the evaluation of quantified Boolean formulas
Resolution is the rule of inference at the basis of most procedures for automated reasoning.
In these procedures, the input formula is first translated into an equisatisfiable formula in …
In these procedures, the input formula is first translated into an equisatisfiable formula in …
A non-prenex, non-clausal QBF solver with game-state learning
We describe a DPLL-based solver for the problem of quantified boolean formulas (QBF) in
non-prenex, non-CNF form. We make two contributions. First, we reformulate clause/cube …
non-prenex, non-CNF form. We make two contributions. First, we reformulate clause/cube …