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Nonmonotonic Reasoning (Artificial Intelligence)

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Synopses & Reviews

Publisher Comments:

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.

Synopsis:

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.

Synopsis:

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 programmes.

Description:

Includes bibliographical references (p. [277]-281) and index.

About the Author

Grigoris Antoniou is Professor at the University of Bremen, Germany.

Product Details

ISBN:
9780262011570
Other:
Antoniou, G.
Author:
Antoniou, Grigoris
Author:
Antoniou, G.
Publisher:
MIT Press (MA)
Location:
Cambridge, Mass. :
Subject:
General
Subject:
Logic
Subject:
Reasoning
Subject:
Artificial Intelligence
Subject:
Nonmonotonic reasoning.
Subject:
Artificial Intelligence - General
Subject:
Intelligence (AI) & Semantics
Subject:
Mathematics-Logic and Philosophy
Series:
Artificial Intelligence Series Nonmonotonic Reasoning
Series Volume:
SP-520
Publication Date:
19970331
Binding:
HARDCOVER
Grade Level:
from 17
Language:
English
Illustrations:
7
Pages:
275
Dimensions:
9 x 7 in

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Humanities » Philosophy » General
Science and Mathematics » Mathematics » Foundations and Logic
Science and Mathematics » Mathematics » Logic and Philosophy
Science and Mathematics » Mathematics » Modeling

Nonmonotonic Reasoning (Artificial Intelligence) New Hardcover
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Product details 275 pages MIT Press - English 9780262011570 Reviews:
"Synopsis" by , 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.
"Synopsis" by , 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 programmes.
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