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Subjective logica formalism for reas...

Josang, Audun.

Subjective logica formalism for reasoning under uncertainty /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Subjective logicby Audun Josang.
Reminder of title:	a formalism for reasoning under uncertainty /
Author:	Josang, Audun.
Published:	Cham :Springer International Publishing :2016.
Description:	xxi, 337 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer logic.
Online resource:	http://dx.doi.org/10.1007/978-3-319-42337-1
ISBN:	9783319423371$q(electronic bk.)

Subjective logica formalism for reasoning under uncertainty /
Josang, Audun.

Subjective logica formalism for reasoning under uncertainty /[electronic resource] :by Audun Josang. - Cham :Springer International Publishing :2016. - xxi, 337 p. :ill., digital ;24 cm. - Artificial intelligence: foundations, theory, and algorithms,2365-3051. - Artificial intelligence: foundations, theory, and algorithms..

Introduction -- Elements of Subjective Opinions -- Opinion Representations -- Decision-Making Under Vagueness and Uncertainty -- Principles of Subjective Logic -- Addition, Subtraction and Complement -- Binomial Multiplication and Division -- Multinomial Multiplication and Division -- Conditional Deduction -- Conditional Abduction -- Joint and Marginal Opinions -- Fusion of Subjective Opinions -- Unfusion and Fission of Subjective Opinions -- Computational Trust -- Trust Networks -- Bayesian Reputation Systems -- Subjective Networks.

This is the first comprehensive treatment of subjective logic and all its operations. The author developed the approach, and in this book he first explains subjective opinions, opinion representation, and decision-making under vagueness and uncertainty, and he then offers a full definition of subjective logic, harmonising the key notations and formalisms, concluding with chapters on trust networks and subjective Bayesian networks, which when combined form general subjective networks. The author shows how real-world situations can be realistically modelled with regard to how situations are perceived, with conclusions that more correctly reflect the ignorance and uncertainties that result from partially uncertain input arguments. The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems. A good grounding in discrete mathematics is a prerequisite.

ISBN: 9783319423371$q(electronic bk.)

Standard No.: 10.1007/978-3-319-42337-1doiSubjects--Topical Terms:

199471
Computer logic.

LC Class. No.: QA76.9.L63

Dewey Class. No.: 005.1015113

Subjective logica formalism for reasoning under uncertainty /
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100 1 $a Josang, Audun. $3 379591
245 1 0 $a Subjective logic $h [electronic resource] : $b a formalism for reasoning under uncertainty / $c by Audun Josang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxi, 337 p. : $b ill., digital ; $c 24 cm.
490 1 $a Artificial intelligence: foundations, theory, and algorithms, $x 2365-3051
505 0 $a Introduction -- Elements of Subjective Opinions -- Opinion Representations -- Decision-Making Under Vagueness and Uncertainty -- Principles of Subjective Logic -- Addition, Subtraction and Complement -- Binomial Multiplication and Division -- Multinomial Multiplication and Division -- Conditional Deduction -- Conditional Abduction -- Joint and Marginal Opinions -- Fusion of Subjective Opinions -- Unfusion and Fission of Subjective Opinions -- Computational Trust -- Trust Networks -- Bayesian Reputation Systems -- Subjective Networks.
520 $a This is the first comprehensive treatment of subjective logic and all its operations. The author developed the approach, and in this book he first explains subjective opinions, opinion representation, and decision-making under vagueness and uncertainty, and he then offers a full definition of subjective logic, harmonising the key notations and formalisms, concluding with chapters on trust networks and subjective Bayesian networks, which when combined form general subjective networks. The author shows how real-world situations can be realistically modelled with regard to how situations are perceived, with conclusions that more correctly reflect the ignorance and uncertainties that result from partially uncertain input arguments. The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems. A good grounding in discrete mathematics is a prerequisite.
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