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IJCAI 2007

Conference Paper Knowledge Representation and Reasoning Artificial Intelligence

Abstract

Recent research in nonmonotonic logic programming under the answer-set semantics focuses on different notions of program equivalence. However, previous results do not address the important classes of stratified programs and its subclass of acyclic (i. e. , recursion-free) programs, although they are recognized as important tools for knowledge representation and reasoning. In this paper, we consider such programs, possibly augmented with constraints. Our results show that in the propositional setting, where reasoning is well-known to be polynomial, deciding strong and uniform equivalence is as hard as for arbitrary normal logic programs (and thus coNP-complete), but is polynomial in some restricted cases. Non-ground programs behave similarly. However, exponential lower bounds already hold for small programs (i. e. , with constantly many rules). In particular, uniform equivalence is undecidable even for small Horn programs plus a single negative constraint.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
921780776129260727
v2026.09.13