Belief Revision

Front Cover
Peter Gärdenfors
Cambridge University Press, Dec 4, 2003 - Computers - 277 pages
Belief revision is a topic of much interest in theoretical computer science and logic, and it forms a central problem in research into artificial intelligence. In simple terms: how do you update a database of knowledge in the light of new information? What if the new information is in conflict with something that was previously held to be true? An intelligent system should be able to accommodate all such cases. This book contains a collection of research articles on belief revision that are completely up to date and an introductory chapter that presents a survey of current research in the area and the fundamentals of the theory. Thus this volume will be useful as a textbook on belief revision.
 

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Contents

An Introduction
1
Foundations versus coherence theories
29
Syntaxbased approaches to belief revision
52
A dyadic representation of belief
89
more maps between different kinds of contraction function
122
Belief change and possibility theory
142
On the difference between updating a knowledge base and revising it
183
Planning from first principles
204
Autonomous belief revision and communication
220
Conditionals and knowledgebase update
247
Index
276
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