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Uncertain Inference by Henry E. Kyburg, Jr.
Book DescriptionCoping with uncertainty is a necessary part of ordinary life and is crucial to an understanding of how the mind works. For example, it is a vital element in developing artificial intelligence that will not be undermined by its own rigidities. There have been many approaches to the problem of uncertain inference, ranging from probability to inductive logic to nonmonotonic logic. Thisbook seeks to provide a clear exposition of these approaches within a unified framework. The principal market for the book will be students and professionals in philosophy, computer science, and AI. Among the special features of the book are a chapter on evidential probability, which has not received a basic exposition before; chapters on nonmonotonic reasoning and theory replacement, matters rarely addressed in standard philosophical texts; and chapters on Mill's methods and statistical inference that cover material sorely lacking in the usual treatments of AI and computer science.
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Book DetailsISBN: 9780521800648
(253mm x 177mm x 19mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 6-Aug-2001
Country of Publication: United Kingdom
Books By Author Henry E. Kyburg, Jr.
Theory and Measurement, Paperback (April 2009)
Henry Kyburg Jr proposes here an original, carefully worked out theory of the foundations of measurement.
Uncertain Inference, Paperback (August 2001)» View all books by Henry E. Kyburg, Jr.
This book presents a clear exposition of the approaches to the problem of uncertain inference.
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