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Applying GSATto Non-Clausal Formulas
Author(s) -
Roberto Sebastiani
Publication year - 1994
Publication title -
journal of artificial intelligence research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.79
H-Index - 123
eISSN - 1943-5037
pISSN - 1076-9757
DOI - 10.1613/jair.49
Subject(s) - computer science , function (biology) , value (mathematics) , generating function , algorithm , mathematics , discrete mathematics , machine learning , evolutionary biology , biology
In this paper we describe how to modify GSAT so that it can be applied to nonclausal formulas. The idea is to use a particular "score" function which gives the number of clauses of the CNF conversion of a formula which are false under a given truth assignment. Its value is computed in linear time, without constructing the CNF conversion itself. The proposed methodology applies to most of the variants of GSAT proposed so far.

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