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.
CITATION STYLE
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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