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A Guided Tour of Artificial Intelligence ResearchRepresentations of Uncertainty in AI: Beyond Probability and Possibility

A Guided Tour of Artificial Intelligence Research: Representations of Uncertainty in AI: Beyond... [This chapter completes the survey of the existing frameworks for representing uncertain and incomplete information, started in the previous chapter of this volume. The theory of belief functions and the theory of imprecise probabilities are presented. The latter setting is mathematically more general than the former, and both include probability theory and quantitative possibility theory as particular cases. Their respective knowledge representation capabilities are highlighted.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guided Tour of Artificial Intelligence ResearchRepresentations of Uncertainty in AI: Beyond Probability and Possibility

Editors: Marquis, Pierre; Papini, Odile; Prade, Henri
Denœux, Thierry; Dubois, Didier; Prade, Henri
A Guided Tour of Artificial Intelligence Research — May 8, 2020
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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-06163-0
Pages
119 –150
DOI
10.1007/978-3-030-06164-7_4
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter completes the survey of the existing frameworks for representing uncertain and incomplete information, started in the previous chapter of this volume. The theory of belief functions and the theory of imprecise probabilities are presented. The latter setting is mathematically more general than the former, and both include probability theory and quantitative possibility theory as particular cases. Their respective knowledge representation capabilities are highlighted.]

Published: May 8, 2020

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