35th International Symposium on Multiple-Valued Logic (ISMVL'05)
DOI: 10.1109/ismvl.2005.40
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Quantification in Non-Deterministic Multi-Valued Structures

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Cited by 33 publications
(59 citation statements)
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“…In this section we introduce an alternative formulation of this semantics, which is a generalization of the two-valued non-deterministic matrices used in [1,2] to characterize multiple-conclusion canonical systems. The new formulation can be constructively extracted from the rules of a canonical calculus, and it provides an algorithmic and natural way of checking determinism of logical connectives.…”
Section: Matrix-based (Kripke) Semanticsmentioning
confidence: 99%
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“…In this section we introduce an alternative formulation of this semantics, which is a generalization of the two-valued non-deterministic matrices used in [1,2] to characterize multiple-conclusion canonical systems. The new formulation can be constructively extracted from the rules of a canonical calculus, and it provides an algorithmic and natural way of checking determinism of logical connectives.…”
Section: Matrix-based (Kripke) Semanticsmentioning
confidence: 99%
“…1 These systems are singleconclusion sequent calculi, which in addition to the axioms and structural rules of Gentzen's LJ calculus have only logical rules, in which exactly one occurrence of a connective is introduced and no other connective is mentioned. It was shown in [3] that every single-conclusion canonical system induces a class of Kripke frames, for which it is strongly sound and complete.…”
Section: Introductionmentioning
confidence: 99%
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“…Our main semantic tool in what follows will be the following generalization of the concept of a multi-valued matrix given in [1,2,3,21,20]. …”
Section: Non-deterministic Matricesmentioning
confidence: 99%
“…An alternative framework for providing semantics for propositional paraconsistent logics was introduced in [1] (and used in [2,3,4]). This framework uses a generalization of the standard multi-valued matrices, called non-deterministic matrices (Nmatrices).…”
Section: Introductionmentioning
confidence: 99%