Nonmonotonic Reasoning

Overview

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 ...

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Overview

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.

The MIT Press

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What People Are Saying

From the Publisher

"This book provides an in-depth treatment of classical nonmonotonicsystems, in particular Default Logic. But its salient feature is adescription of exciting recent results on
Inference Relations, BeliefRevision and their relations." Daniel Lehmann, Professor of Computer
Science, Hebrew University

The MIT Press

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Product Details

  • ISBN-13: 9780262011570
  • Publisher: MIT Press
  • Publication date: 4/4/1997
  • Series: Artificial Intelligence Series
  • Pages: 275
  • Product dimensions: 7.00 (w) x 9.00 (h) x 1.00 (d)

Meet the Author

Grigoris Antoniou is Professor at the Institute for Computer Science, FORTH (Foundation for
Research and Technology-Hellas), Heraklion, Greece.
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Table of Contents

Series Foreword
1 Introduction 3
2 Predicate Logic 11
3 Default Reasoning 21
4 Operational Semantics of Default Logic 31
5 Normal Default Theories 49
6 Semi-normal Default Theories 59
7 Alternative Approaches 71
8 Priorities Among Defaults 91
9 Autoepistemic Logic 109
10 Computing Expansions of AE-Theories 121
11 Embedding Default Logic into AE-Logic 131
12 Circumscription 143
13 Nonmonotonic Inference Relations 165
14 Belief Revision 183
15 Implementing Belief Revision 197
16 Interconnections 213
17 The System Theorist 229
18 Stable Model Semantics of Logic Programs 243
19 Well-Founded Semantics 255
20 Future Directions of Nonmonotonic Reasoning Research 271
Bibliography 277
Index 283
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