Nonmonotonic reasoning /

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 d...

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Bibliographic Details
Main Author: Antoniou, G. (Grigoris)
Other Authors: Williams, M. A.
Format: eBook
Language:English
Published: Cambridge, Mass. : MIT Press, ©1997.
Series:Artificial intelligence
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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 and therefore increase confidence in intelligent systems that work with incomplete and changing information. Following a brief introduction to the concepts of predicate logic that are needed in the subsequent chapters, this book presents an in depth treatment of default logic. Other subjects covered include the major approaches of autoepistemic logic and circumscription, belief revision and its relationship to nonmonotonic inference, and briefly, the stable and well-founded semantics of logic programs.
Physical Description:1 online resource (xii, 285 pages) : illustrations.
ISBN:0585037035
9780585037035
0262267195
9780262267199
DOI:10.7551/mitpress/5040.001.0001