2016
DOI: 10.1007/978-3-319-40970-2_27
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Q-Resolution with Generalized Axioms

Abstract: Abstract. Q-resolution is a proof system for quantified Boolean formulas (QBFs) in prenex conjunctive normal form (PCNF) which underlies search-based QBF solvers with clause and cube learning (QCDCL). With the aim to derive and learn stronger clauses and cubes earlier in the search, we generalize the axioms of the Q-resolution calculus resulting in an exponentially more powerful proof system. The generalized axioms introduce an interface of Q-resolution to any other QBF proof system allowing for the direct com… Show more

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Cited by 23 publications
(20 citation statements)
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“…DepQBF 6.0 implements a variant of QCDCL that is based on a generalization of the Q-resolution calculus (QRES). The generalization is achieved by equipping QRES with generalized clause and cube axioms to be used in clause and cube learning [31]. The generalized axioms provide an extensible framework of interfaces for the integration of arbitrary QBF proof systems in QRES, and hence in QCDCL.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…DepQBF 6.0 implements a variant of QCDCL that is based on a generalization of the Q-resolution calculus (QRES). The generalization is achieved by equipping QRES with generalized clause and cube axioms to be used in clause and cube learning [31]. The generalized axioms provide an extensible framework of interfaces for the integration of arbitrary QBF proof systems in QRES, and hence in QCDCL.…”
Section: Resultsmentioning
confidence: 99%
“…1 In contrast to traditional QCDCL based on QRES [14,21,24,48], DepQBF 6.0 implements a variant of QCDCL that relies on a generalization of QRES. This generalization is due to a set of new axioms added to QRES [31]. In practice, derivations made by the added axioms in QCDCL are based on arbitrary QBF proof systems.…”
Section: Introductionmentioning
confidence: 99%
“…While there is some work on relating proof systems (e.g., [18]), the actual search strategies have not been compared yet. Especially when different techniques are integrated as currently proposed in [19], a better understanding of the individual solving techniques is indispensable. APPENDIX Example 1.…”
Section: Discussionmentioning
confidence: 99%
“…In this way, the system shares similarities with 'Q-resolution with generalised axioms' [20]. Regarding proof complexity, a drawback of that calculus is that every false formula may be refuted in a single step.…”
Section: Motivations For Dyn-q(d)-resmentioning
confidence: 99%
“…In line with [20], we could have allowed assignments due to unit propagation and pure literal elimination in dyn-Q(D)-Res. This would allow additional existential literals to be included in a D-assignment provided that they are valid assignments under Boolean constraint propagation.…”
Section: Motivations For Dyn-q(d)-resmentioning
confidence: 99%