Semantical considerations on nonmonotonic logic
Artificial Intelligence
A logic-based language for database updates
Foundations of deductive databases and logic programming
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Proceedings of the 2nd international workshop on Non-monotonic reasoning
Generalized stable models, truth maintenance and conflict resolution
Logic programming
Updating logical databases
Propositional knowledge base revision and minimal change
Artificial Intelligence
Extended logic programs as autoepistemic theories
Proceedings of the second international workshop on Logic programming and non-monotonic reasoning
On the semantics of updates in databases
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On properties of update sequences based on causal rejection
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Reasoning about evolving nonmonotonic knowledge bases
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Equivalence in abductive logic
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A Model-Theoretic Approach to Belief Change in Answer Set Programming
ACM Transactions on Computational Logic (TOCL)
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This paper proposes a method of nonmonotonic theory change. We first introduce a new form of abduction that can account for observations in nonmonotonic situation. Then we provide a framework of autoepistemic update, which describes nonmonotonic theory change through the extended abductive framework. The proposed update semantics is fairly general and provides a unified framework for various update semantics such as first-order update, view update of databases, and contradiction removal of nonmonotonic theories.