The complexity of facets resolved
Journal of Computer and System Sciences - 26th IEEE Conference on Foundations of Computer Science, October 21-23, 1985
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
General logical databases and programs: default logic semantics and stratification
Information and Computation
On the complexity of propositional knowledge base revision, updates, and counterfactuals
Artificial Intelligence
Compiling specificity into approaches to nonmonotonic reasoning
Artificial Intelligence
Compiling defeasible inheritance networks to general logic programs
Artificial Intelligence
Extending and implementing the stable model semantics
Artificial Intelligence
Compiling Default Theory int Extended Logic Programming
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning
Proceedings of the 3rd Conference on Theoretical Aspects of Reasoning about Knowledge
On Exact Selection of Minimally Unsatisfiable Subformulae
Annals of Mathematics and Artificial Intelligence
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
Possibilistic uncertainty handling for answer set programming
Annals of Mathematics and Artificial Intelligence
Algorithms for Computing Minimal Unsatisfiable Subsets of Constraints
Journal of Automated Reasoning
Handling uncertainty and defeasibility in a possibilistic logic setting
International Journal of Approximate Reasoning
Learning extended logic programs
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Conflict-driven answer set solving
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Boosting a complete technique to find MSS and MUS thanks to a local search oracle
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Handling exceptions in logic programming without negation as failure
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Dealing with explicit preferences and uncertainty in answer set programming
Annals of Mathematics and Artificial Intelligence
Using possibilistic logic for modeling qualitative decision: Answer Set Programming algorithms
International Journal of Approximate Reasoning
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Answer Set Programming (ASP), via normal logic programs, is known as a suitable framework for default reasoning since it offers both a valid formal model and operational systems. However, in front of a real world knowledge representation problem, it is not easy to represent information in this framework. That is why the present article proposed to deal with this issue by generating in an automatic way the suitable normal logic program from a compact representation of the information. This is done by using a method, based on specificity, that has been developed for default logic and which is adapted here to ASP both in theoretical and practical points of view.