About this product

Product Identifiers

PublisherCambridge University Press

ISBN-100521800641

ISBN-139780521800648

eBay Product ID (ePID)1886566

Product Key Features

Number of Pages312 Pages

LanguageEnglish

Publication NameUncertain Inference

SubjectPhilosophy & Social Aspects, Information Theory, Probability & Statistics / General, Logic

Publication Year2001

TypeTextbook

Subject AreaMathematics, Computers, Science

AuthorHenry E. Kyburg Jr., Choh Man Teng

FormatHardcover

Dimensions

Item Height0.9 in

Item Weight25.2 Oz

Item Length10.4 in

Item Width7.2 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN00-052954

Reviews"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

IllustratedYes

Dewey Decimal003.54

Table Of ContentPreface; 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.

SynopsisCoping with uncertainty is a necessary part of ordinary life and is crucial to an understanding of how the mind works. 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., 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. 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., 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. This book is for students and professionals in philosophy, computer science, and AI.

LC Classification NumberQ375 .K93 2001