© 2016

Subjective Logic

A Formalism for Reasoning Under Uncertainty


Table of contents

  1. Front Matter
    Pages i-xxi
  2. Audun Jøsang
    Pages 1-6
  3. Audun Jøsang
    Pages 7-18
  4. Audun Jøsang
    Pages 19-50
  5. Audun Jøsang
    Pages 83-94
  6. Audun Jøsang
    Pages 95-100
  7. Audun Jøsang
    Pages 101-114
  8. Audun Jøsang
    Pages 115-132
  9. Audun Jøsang
    Pages 171-198
  10. Audun Jøsang
    Pages 199-206
  11. Audun Jøsang
    Pages 207-236
  12. Audun Jøsang
    Pages 237-242
  13. Audun Jøsang
    Pages 243-270
  14. Audun Jøsang
    Pages 271-288
  15. Audun Jøsang
    Pages 289-302
  16. Audun Jøsang
    Pages 303-326
  17. Back Matter
    Pages 327-337

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.


Bayesian Networks Belief Mathematical Logic Probability Theory Reasoning Stochastic Processes Trust Uncertainty

Authors and affiliations

  1. 1.Department of InformaticsUniversity of OsloOsloNorway

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
  • Series Abbreviated Title Artificial Intelligence: Foundations, Theory, and Algorithms
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-319-42335-7
  • Softcover ISBN 978-3-319-82555-7
  • eBook ISBN 978-3-319-42337-1
  • Series ISSN 2365-3051
  • Series E-ISSN 2365-306X
  • Edition Number 1
  • Number of Pages XXI, 337
  • Number of Illustrations 119 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Mathematical Logic and Formal Languages
    Systems and Data Security
  • Buy this book on publisher's site
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