Uncertain Inference

by Henry E. Kyburg Jr, Choh Man Teng

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Description

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 show more 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. show less

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14 Works 163 Members
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Genres
Nonfiction, Technology, Philosophy, Science & Nature, History
DDC/MDS
003.54Computer science, information & general worksComputer science, knowledge & systemsSystemsTheory of communication and controlInformation theory
LCC
Q375 .K93ScienceScience (General)CyberneticsInformation theory
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Members
29
Popularity
855,821
Rating
(3.00)
Languages
English
Media
Paper, Ebook
ISBNs
10
ASINs
1