A logical framework for default reasoning
Artificial Intelligence
Abduction from logic program: semantics and complexity
Theoretical Computer Science
Strongly equivalent logic programs
ACM Transactions on Computational Logic (TOCL) - Special issue devoted to Robert A. Kowalski
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Model Checking for Nonmonotonic Logics: Algorithms and Complexity
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Generality and equivalence relations in default logic
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
On solution correspondences in answer-set programming
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Equivalence in abductive logic
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Generality relations in answer set programming
ICLP'06 Proceedings of the 22nd international conference on Logic Programming
Exploring relations between answer set programs
Logic programming, knowledge representation, and nonmonotonic reasoning
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This paper introduces two methods for comparing explanation power of different abductive theories. One is comparing for observations, and the other is comparing explanation content for observations. Those two measures are represented by generality relations over abductive theories. The generality relations are naturally related to the notion of abductive equivalence introduced by Inoue and Sakama. We also analyze the computational complexity of these relations.