Subjective logic : a formalism for reasoning under uncertainty / Audun Jøsang.
Jøsang, Audun, author.
2016
QA76.9.L63
Available Online

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Title Subjective logic : a formalism for reasoning under uncertainty / Audun Jøsang.
Author Jøsang, Audun, author.
ISBN 9783319423371 (electronic book)
3319423371 (electronic book)
9783319423357
3319423355
Published Cham, Switzerland : Springer, 2016.
Language English
Description 1 online resource (xxi, 337 pages) : illustrations.
Call Number QA76.9.L63
Dewey Decimal Classification 005.101/5113
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 7, 2016).
Series Artificial intelligence: foundations, theory, and algorithms.
Available in Other Form Print version: 3319423355
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All Resources
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.

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