A Statistical Viewpoint on the Theory of Evidence (Classic Reprint) - Softcover

Hummel, Robert A.

9781333644703: A Statistical Viewpoint on the Theory of Evidence (Classic Reprint)

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ISBN 10: 1333644701 ISBN 13: 9781333644703

Publisher: Forgotten Books, 2024

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Excerpt from A Statistical Viewpoint on the Theory of Evidence

Many problems in artificial intelligence call for assessments of degrees of belief in propositions based on evidence gathered from disparate sources. It is often claimed that probabilistic analysis of propositions is at variance with intuitive notions of belief [7, 17, Various methods have been introduced to reconcile the discrepancies, but no single technique has settled the issue on both theoretical and pragmatic grounds.

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PublisherForgotten Books
Publication date2024
ISBN 10 1333644701
ISBN 13 9781333644703
BindingPaperback
LanguageEnglish
Number of pages35

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9781340305550: A Statistical Viewpoint on the Theory of Evidence

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A Statistical Viewpoint on the Theory of Evidence (Classic Reprint)

Robert A. Hummel, Michael S. Landy

Published by Forgotten Books, 2024

ISBN 10: 1333644701 ISBN 13: 9781333644703

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Seller: Forgotten Books, London, United Kingdom

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Paperback. Condition: New. Print on Demand. This book offers a novel viewpoint on the Dempster/Shafer Theory of Evidence, a notable framework for reasoning with uncertainty. The author argues that the theory can be understood as a form of statistical analysis of expert opinions. This perspective simplifies the interpretation of the theory's core combination formulas, revealing that they represent Bayesian updating applied to boolean assertions. The book also proposes an alternative formulation that employs probabilistic opinions of experts, leading to simpler formulas and fewer variables while maintaining the essential idea of tracking expert opinion statistics. The combination formula, rather than extending Bayes' theorem for combining probabilities, contains nothing more than Bayes' formula applied to boolean assertions. By treating the formulation as algebraic structures, and by treating opinions as the Statistics on a collection of opinions, the book provides canonical examples with which to construct states of belief to analogous real situations. This approach provides a deeper theoretical basis for the application of canonical examples to probabilistic situations with uncertainties. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781333644703_0

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