Willem Conradie ; Valentin Goranko ; Dimiter Vakarelov - Algorithmic correspondence and completeness in modal logic. I. The core algorithm SQEMA

lmcs:2259 - Logical Methods in Computer Science, March 7, 2006, Volume 2, Issue 1 - https://doi.org/10.2168/LMCS-2(1:5)2006
Algorithmic correspondence and completeness in modal logic. I. The core algorithm SQEMAArticle

Authors: Willem Conradie ORCID; Valentin Goranko ; Dimiter Vakarelov

    Modal formulae express monadic second-order properties on Kripke frames, but in many important cases these have first-order equivalents. Computing such equivalents is important for both logical and computational reasons. On the other hand, canonicity of modal formulae is important, too, because it implies frame-completeness of logics axiomatized with canonical formulae. Computing a first-order equivalent of a modal formula amounts to elimination of second-order quantifiers. Two algorithms have been developed for second-order quantifier elimination: SCAN, based on constraint resolution, and DLS, based on a logical equivalence established by Ackermann. In this paper we introduce a new algorithm, SQEMA, for computing first-order equivalents (using a modal version of Ackermann's lemma) and, moreover, for proving canonicity of modal formulae. Unlike SCAN and DLS, it works directly on modal formulae, thus avoiding Skolemization and the subsequent problem of unskolemization. We present the core algorithm and illustrate it with some examples. We then prove its correctness and the canonicity of all formulae on which the algorithm succeeds. We show that it succeeds not only on all Sahlqvist formulae, but also on the larger class of inductive formulae, introduced in our earlier papers. Thus, we develop a purely algorithmic approach to proving canonical completeness in modal logic and, in particular, establish one of the most general completeness results in modal logic so far.

    Volume: Volume 2, Issue 1
    Published on: March 7, 2006
    Submitted on: September 28, 2005
    Keywords: Computer Science - Logic in Computer Science,F.4.1,I.2.4

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