Satisfaisabilité

Résumé

En logique mathématique, la satisfaisabilité ou satisfiabilité et la validité sont des concepts élémentaires de sémantique. Une formule est satisfaisable s'il est possible de trouver une interprétation (modèle), une façon d'interpréter tous les éléments constitutifs de la formule, qui rend la formule vraie. Une formule est universellement valide, ou en raccourci valide si, pour toutes les interprétations, la formule est vraie. Les concepts opposés sont la non satisfaisabilité ou insatisfaisabilité et la non-validité : une formule est insatisfaisable si aucune de ses interprétations ne rend la formule vraie et non valide s'il existe une interprétation qui rend la formule fausse. Les quatre concepts peuvent être appliqués aux théories. Ainsi une théorie est satisfaisable s'il existe une interprétation qui rend chacun des axiomes de la théorie vrai, non satisfaisable si toute interprétation rend l'un des axiomes faux. La satisfaisabilité en théorie des modèles En théorie des

Source officielle

https://fr.wikipedia.org/wiki/Satisfaisabilit%C3%A9

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On Sets with Cardinality Constraints in Satisfiability Modulo Theories

Viktor Kuncak, Robin Steiger, Philippe Paul Henri Suter

Boolean Algebra with Presburger Arithmetic (BAPA) is a decidable logic that can express constraints on sets of elements and their cardinalities. Problems from verification of complex properties of software often contain fragments that belong to quantifier-free BAPA (QFBAPA). Deciding the satisfiability of QFBAPA formulas has been shown to be NP-complete using an eager reduction to quantifier-free Presburger arithmetic that exploits a sparse-solution property. In contrast to many other NP-complete problems (such as quantifier-free first-order logic or linear arithmetic), the applications of QFBAPA to a broader set of problems has so far been hindered by the lack of an efficient implementation that can be used alongside other efficient decision procedures. We overcome these limitations by extending the efficient SMT solver Z3 with the ability to reason about cardinality constraints. Our implementation uses the DPLL(T) mechanism of Z3 to reason about the top-level propositional structure of a QFBAPA formula, improving the efficiency compared to previous implementations. Moreover, we present a new algorithm for automated decomposition of QFBAPA formulas. Our algorithm alleviates the exponential explosion of considering all Venn regions, significantly improving the tractability of formulas with many set variables. Because it is implemented as a theory plugin, our implementation enables Z3 to prove formulas that use QFBAPA constructs alongside constructs from other theories that Z3 supports (e.g. linear arithmetic, uninterpreted function symbols, algebraic data types), as well as in formulas with quantifiers. We have applied our implementation to verification of functional programs; we show it can automatically prove formulas that no automated approach was reported to be able to prove before.

2010

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We show that the satisfiability problem for the quantifier-free theory of product structures with the equicardinality relation is inNP. As an application, we extend the combinatory array logic fragmentto handle cardinality constraints. The resulting fragment is independentof the base element and index set theories.

Springer, Cham2022

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Sets with Cardinality Constraints in Satisfiability Modulo Theories

Viktor Kuncak, Robin Steiger, Philippe Paul Henri Suter

Boolean Algebra with Presburger Arithmetic (BAPA) is a decidable logic that can express constraints on sets of elements and their cardinalities. Problems from verification of complex properties of software often contain fragments that belong to quantifier-free BAPA (QFBAPA). in contrast to many other NP-complete problems (such as quantifier-free first-order logic or linear arithmetic), the applications of QFBAPA to a broader set of problems has so far been hindered by the lack of an efficient implementation that can be used alongside other efficient decision procedures. We overcome these limitations by extending the efficient SMT solver Z3 with the ability to reason about cardinality (QFBAPA) constraints. Our implementation uses the DPLL(T) mechanism of Z3 to reason about the top-level propositional structure of a QFBAPA formula, improving the efficiency compared to previous implementations. Moreover, we present a new algorithm for automatically decomposing QFBAPA formulas. Our algorithm alleviates the exponential explosion of considering all Venn regions, significantly improving the tractability of formulas with many set variables. Because it is implemented as a theory plugin, our implementation enables Z3 to prove formulas that use QFBAPA constructs with constructs from other theories that Z3 supports, as well as with quantifiers. We have applied our implementation to the verification of functional programs; we show it can automatically prove formulas that no automated approach was reported to be able to prove before.

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2011

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