Satisfiability solvers

CP Gomes, H Kautz, A Sabharwal, B Selman - Foundations of Artificial …, 2008 - Elsevier
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 …

[LIVRE][B] Handbook of knowledge representation

F Van Harmelen, V Lifschitz, B Porter - 2008 - books.google.com
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 …

Effective preprocessing in SAT through variable and clause elimination

N Eén, A Biere - International conference on theory and applications of …, 2005 - Springer
Preprocessing SAT instances can reduce their size considerably. We combine variable
elimination with subsumption and self-subsuming resolution, and show that these …

Conflict driven learning in a quantified Boolean satisfiability solver

L Zhang, S Malik - Proceedings of the 2002 IEEE/ACM international …, 2002 - dl.acm.org
Within the verification community, there has been a recent increase in interest in Quantified
Boolean Formula evaluation (QBF) as many interesting sequential circuit verification …

DepQBF: A dependency-aware QBF solver

F Lonsing, A Biere - Journal on Satisfiability, Boolean …, 2010 - content.iospress.com
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 …

Quantified boolean formulas

O Beyersdorff, M Janota, F Lonsing… - Handbook of …, 2021 - ebooks.iospress.nl
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 …

Logic-based ontology comparison and module extraction, with an application to DL-Lite

R Kontchakov, F Wolter, M Zakharyaschev - Artificial Intelligence, 2010 - Elsevier
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 …

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 …

Clause/term resolution and learning in the evaluation of quantified Boolean formulas

E Giunchiglia, M Narizzano, A Tacchella - Journal of Artificial Intelligence …, 2006 - jair.org
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 …

A non-prenex, non-clausal QBF solver with game-state learning

W Klieber, S Sapra, S Gao, E Clarke - … , SAT 2010, Edinburgh, UK, July 11 …, 2010 - Springer
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 …