Extending and implementing the stable model semantics
Artificial Intelligence
Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
The nomore++ approach to answer set solving
LPAR'05 Proceedings of the 12th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
Extended asp tableaux and rule redundancy in normal logic programs1
Theory and Practice of Logic Programming
On the relation among answer set solvers
Annals of Mathematics and Artificial Intelligence
Extended ASP tableaux and rule redundancy in normal logic programs
ICLP'07 Proceedings of the 23rd international conference on Logic programming
Advanced techniques for answer set programming
ICLP'07 Proceedings of the 23rd international conference on Logic programming
Tableau calculi for answer set programming
ICLP'06 Proceedings of the 22nd international conference on Logic Programming
Tableau Calculi for Logic Programs under Answer Set Semantics
ACM Transactions on Computational Logic (TOCL)
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Concepts in Answer Set Programming (ASP) are normally defined in terms of atoms.We show that the treatment of atoms and bodies (of rules) as equitable computational objects may yield exponential speed-ups, even for standard ASP-solvers such as smodels. To this end, we give simple transformations providing solvers with access to both kinds of objects and show that some families of examples can be solved exponentially faster after they have been transformed. We prove that these transformations may yield exponentially smaller search spaces.