Computer Science – Artificial Intelligence
Scientific paper
2011-09-30
Journal Of Artificial Intelligence Research, Volume 27, pages 299-334, 2006
Computer Science
Artificial Intelligence
Scientific paper
10.1613/jair.2009
We study properties of programs with monotone and convex constraints. We extend to these formalisms concepts and results from normal logic programming. They include the notions of strong and uniform equivalence with their characterizations, tight programs and Fages Lemma, program completion and loop formulas. Our results provide an abstract account of properties of some recent extensions of logic programming with aggregates, especially the formalism of lparse programs. They imply a method to compute stable models of lparse programs by means of off-the-shelf solvers of pseudo-boolean constraints, which is often much faster than the smodels system.
Liu Lin
Truszczynski Miroslaw
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