Nonmonotonic logic and temporal projection
Artificial Intelligence
Logic programs with classical negation
Logic programming
Reasoning about priorities in default logic
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
The complexity of logic-based abduction
Journal of the ACM (JACM)
Database Updates through Abduction
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Abduction in Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
LPNMR '01 Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning
Abduction and preferences in linguistics
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2002), Part 2
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We introduce a framework for finding preference information to derive desired conclusions in nonmonotonic reasoning. A new abductive framework called preference abduction enables us to infer an appropriate set of priorities to explain the given observation skeptically, thereby resolving the multiple extension problem in the answer set semantics for extended logic programs. Preference abduction is also combined with a usual form of abduction in abductive logic programming, and has applications such as specification of rule preference in legal reasoning and preference view update. The issue of learning abducibles and priorities is also discussed, in which abduction to a particular cause is equivalent to abduction to preference.