Uncertain Inference

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Henry E. Kyburg, Jr (University of Rochester, New York) Choh Man Teng (Institute for Human and Machine Intelligence)

Uncertain Inference

Henry E. Kyburg, Jr (University of Rochester, New York), Choh Man Teng (Institute for Human and Machine Intelligence)

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English

Cambridge University Pres
20 November 2001

Philosophy; Philosophy: logic

Coping 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. This book 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.

By: Henry E. Kyburg Jr (University of Rochester New York), Choh Man Teng (Institute for Human and Machine Intelligence)
Imprint: Cambridge University Pres
Country of Publication: United Kingdom
Dimensions: Height: 255mm, Width: 179mm, Spine: 19mm
Weight: 560g
ISBN: 9780521001014
ISBN 10: 0521001013
Pages: 312
Publication Date: 20 November 2001
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Preface; 1. Historical background; 2. First order logic; 3. The probability calculus; 4. Interpretations of probability; 5. Nonstandard measures of support; 6. Nonmonotonic reasoning; 7. Theory replacement; 8. Statistical inference; 9. Evidential probability; 10. Semantics; 11. Applications; 12. Scientific inference.

Reviews for Uncertain Inference

Overall this book is one of the most thorough and objective treatments of inductive reasoning that I have encountered. It is clearly written with well chosen examples and both the scope and depth of the material covered is impressive...an excellent postgraduate textbook. Mathematical Reviews