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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.
ASIN : B01N0M0JRD
Publisher : Springer
Accessibility : Learn more
Publication date : October 27, 2016
Edition : 1st ed. 2016
Language : English
File size : 12.5 MB
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 358 pages
Format : Print Replica
ISBN-13 : 978-3319423371
Page Flip : Not Enabled
Part of series : Artificial Intelligence: Foundations, Theory, and Algorithms
