Overview
- A critical tool in understanding and incorporating uncertainty into decision-making
- First comprehensive treatment of subjective logic and its operations, by the researcher who developed the approach
- Helpful for researchers and practitioners who want to build artificial reasoning models and tools for solving real-world problems
Part of the book series: Artificial Intelligence: Foundations, Theory, and Algorithms (AIFTA)
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About this book
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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Keywords
Table of contents (17 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Subjective Logic
Book Subtitle: A Formalism for Reasoning Under Uncertainty
Authors: Audun Jøsang
Series Title: Artificial Intelligence: Foundations, Theory, and Algorithms
DOI: https://doi.org/10.1007/978-3-319-42337-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-42335-7Published: 04 November 2016
Softcover ISBN: 978-3-319-82555-7Published: 23 June 2018
eBook ISBN: 978-3-319-42337-1Published: 27 October 2016
Series ISSN: 2365-3051
Series E-ISSN: 2365-306X
Edition Number: 1
Number of Pages: XXI, 337
Number of Illustrations: 119 b/w illustrations
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Systems and Data Security, Logic