The well-founded semantics for general logic programs
Journal of the ACM (JACM)
Disjunctive stable models: unfounded sets, fixpoint semantics, and computation
Information and Computation
A machine program for theorem-proving
Communications of the ACM
ASSAT: computing answer sets of a logic program by SAT solvers
Artificial Intelligence - Special issue on nonmonotonic reasoning
Answer set programming with clause learning
Answer set programming with clause learning
Answer Set Programming Based on Propositional Satisfiability
Journal of Automated Reasoning
On the relation between answer set and sat procedures (or, between cmodels and smodels)
ICLP'05 Proceedings of the 21st international conference on Logic Programming
Tableau calculi for answer set programming
ICLP'06 Proceedings of the 22nd international conference on Logic Programming
Learning and using domain-specific heuristics in ASP solvers
AI Communications - Answer Set Programming
Abstract answer set solvers with backjumping and learning
Theory and Practice of Logic Programming
Automatic music composition using answer set programming
Theory and Practice of Logic Programming
The third answer set programming competition: preliminary report of the system competition track
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Relating constraint answer set programming languages and algorithms
Artificial Intelligence
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Nieuwenhuis, Oliveras, and Tinelli showed how to describe enhancements of the Davis-Putnam-Logemann-Loveland algorithm using transition systems, instead of pseudocode. We design a similar framework for three algorithms that generate answer sets for logic programs: smodels , asp-sat with Backtracking, and a newly designed and implemented algorithm sup . This approach to describing answer set solvers makes it easier to prove their correctness, to compare them, and to design new systems.