Resolution for skeptical stable semantics

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Abstract

An extension of resolution for skeptical stable model semantics is introduced. Unlike previous approaches, our calculus often needs to consider only a strict subset of the program rules. Moreover, we characterize a large class of programs whose derivations may proceed in a thoroughly goal-directed way. Some inferences, which depend on non-ground negative goals, can be drawn without resorting to negation-as-failure; as a consequence, many goals which flounder in the standard setting, have a successful skeptical derivation. The paper contains a preliminary study of some interesting derivation strategies.

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Bonatti, P. A. (1997). Resolution for skeptical stable semantics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1265, pp. 185–197). Springer Verlag. https://doi.org/10.1007/3-540-63255-7_13

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