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Nonmonotonic Reasoning (Artificial Intelligence) Book
"This book provides an in-depth treatment of classical nonmonotonic systems, in particular Default Logic. But its salient feature is a description of exciting recent results on Inference Relations, Belief Revision and their relations." -- Daniel Lehmann, Professor of Computer Science, Hebrew University Nonmonotonic reasoning provides formal methods that enable intelligent systems to operate adequately when faced with incomplete or changing information. In particular, it provides rigorous mechanisms for taking back conclusions that, in the presence of new information, turn out to be wrong and for deriving new, alternative conclusions instead. Nonmonotonic reasoning methods provide rigor similar to that of classical reasoning; they form a base for validation and verification … read more...
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