Uncertain Inference - Hardcover

Kyburg Jr, Henry E.; Teng, Choh Man

Hardcover

ISBN 10: 0521800641 ISBN 13: 9780521800648

Publisher: Cambridge University Press, 2001

Synopsis

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.

About this title

Review

"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

Book Description

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.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2001
• Language: English
• ISBN 10: 0521800641
• ISBN 13: 9780521800648
• Binding: Hardcover
• Number of pages: 312