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Uncertain Inference

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Coping 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.

Author(s): Henry E. Kyburg Jr, Choh Man Teng
Publisher: Cambridge University Press
Year: 2001

Language: English
Pages: 311