Proceedings of the eleventh international conference on Logic programming
A Computing Procedure for Quantification Theory
Journal of the ACM (JACM)
A machine program for theorem-proving
Communications of the ACM
Chaff: engineering an efficient SAT solver
Proceedings of the 38th annual Design Automation Conference
Logic programming and knowledge representation-the A-prolog perspective
Artificial Intelligence
Answer set programming and plan generation
Artificial Intelligence
Extending and implementing the stable model semantics
Artificial Intelligence
Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
Logic programs with stable model semantics as a constraint programming paradigm
Annals of Mathematics and Artificial Intelligence
Characterizations of the Stable Semantics by Partial Evaluation
LPNMR '95 Proceedings of the Third International Conference on Logic Programming and Nonmonotonic Reasoning
Theorem Proving Based on the Extension Rule
Journal of Automated Reasoning
ASSAT: computing answer sets of a logic program by SAT solvers
Artificial Intelligence - Special issue on nonmonotonic reasoning
Why are there so many loop formulas?
ACM Transactions on Computational Logic (TOCL)
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
Temporal phylogenetic networks and logic programming
Theory and Practice of Logic Programming
Answer Set Programming Based on Propositional Satisfiability
Journal of Automated Reasoning
Inferring Phylogenetic Trees Using Answer Set Programming
Journal of Automated Reasoning
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Towards understanding and harnessing the potential of clause learning
Journal of Artificial Intelligence Research
Conflict-driven answer set solving
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Generic tableaux for answer set programming
ICLP'07 Proceedings of the 23rd international conference on Logic programming
Extended ASP tableaux and rule redundancy in normal logic programs
ICLP'07 Proceedings of the 23rd international conference on Logic programming
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
The nomore++ approach to answer set solving
LPAR'05 Proceedings of the 12th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
Tableau calculi for answer set programming
ICLP'06 Proceedings of the 22nd international conference on Logic Programming
Conflict-driven answer set solving: From theory to practice
Artificial Intelligence
Tableau Calculi for Logic Programs under Answer Set Semantics
ACM Transactions on Computational Logic (TOCL)
Hi-index | 0.01 |
We introduce an extended tableau calculus for answer set programming (ASP). The proof system is based on the ASP tableaux defined in the work by Gebser and Schaub (Tableau calculi for answer set programming. In Proceedings of the 22nd International Conference on Logic Programming (ICLP 2006), S. Etalle and M. Truszczynski, Eds. Lecture Notes in Computer Science, vol. 4079. Springer, 11–25) with an added extension rule. We investigate the power of Extended ASP Tableaux both theoretically and empirically. We study the relationship of Extended ASP Tableaux with the Extended Resolution proof system defined by Tseitin for sets of clauses, and separate Extended ASP Tableaux from ASP Tableaux by giving a polynomial-length proof for a family of normal logic programs {Φn} for which ASP Tableaux has exponential-length minimal proofs with respect to n. Additionally, Extended ASP Tableaux imply interesting insight into the effect of program simplification on the lengths of proofs in ASP. Closely related to Extended ASP Tableaux, we empirically investigate the effect of redundant rules on the efficiency of ASP solving.