Selman and Kautz proposed a method, called Horn approximation, for speeding up inference in propositional Knowledge Bases. Their technique is based on the compilation of a propositional formula into a pair of Horn formulae: a Horn Greatest Lower Bound (GLB) and a Horn Least Upper Bound (LUB). In this paper we focus on GLBs and address two questions that have been only marginally addressed so far: (1) what is the semantics of the Horn GLBs? (2) what is the exact complexity of finding them? We obtain semantical as well as computational results. The major semantical result is: The set of minimal models of a propositional formula and the set of minimum models of its Horn GLBs are the same. The major computational result is: Finding a Horn GLB of a propositional formula in CNF is NP-equivalent, (C) 2000 Elsevier Science B.V. All rights reserved.

Semantical and computational aspects of Horn approximations / Cadoli, Marco; Francesco, Scarcello. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - 119:1(2000), pp. 1-17. [10.1016/s0004-3702(00)00010-2]

Semantical and computational aspects of Horn approximations

CADOLI, Marco;
2000

Abstract

Selman and Kautz proposed a method, called Horn approximation, for speeding up inference in propositional Knowledge Bases. Their technique is based on the compilation of a propositional formula into a pair of Horn formulae: a Horn Greatest Lower Bound (GLB) and a Horn Least Upper Bound (LUB). In this paper we focus on GLBs and address two questions that have been only marginally addressed so far: (1) what is the semantics of the Horn GLBs? (2) what is the exact complexity of finding them? We obtain semantical as well as computational results. The major semantical result is: The set of minimal models of a propositional formula and the set of minimum models of its Horn GLBs are the same. The major computational result is: Finding a Horn GLB of a propositional formula in CNF is NP-equivalent, (C) 2000 Elsevier Science B.V. All rights reserved.
2000
computational complexity; horn formulae; knowledge approximation; knowledge compilation
01 Pubblicazione su rivista::01a Articolo in rivista
Semantical and computational aspects of Horn approximations / Cadoli, Marco; Francesco, Scarcello. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - 119:1(2000), pp. 1-17. [10.1016/s0004-3702(00)00010-2]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/47805
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