Trust Learning and Estimation

Gehao Lu; Joan Lu

doi:10.4018/978-1-5225-1884-6.ch018

Trust Learning and Estimation

Gehao Lu, Joan Lu

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Predict uncertainty is critic in decision making process, especially for the complex systems. This chapter aims to discuss the theory involved in Self-Organizing Map (SOM) and its learning process, SOM based Trust Learning Algorithm (STL), SOM based Trust Estimation Algorithm (STL) as well as features of generated trust patterns. Several patterns are discussed within context. Both algorithms and how they are processed have been described in detail. It is found that SOM based Trust Estimation algorithm is the core algorithm that help agent make trustworthy or untrustworthy decisions.

Original language	English
Title of host publication	Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts
Editors	Joan Lu, Qiang Xu
Publisher	IGI Global
Pages	317-330
Number of pages	14
ISBN (Electronic)	9781522518853
ISBN (Print)	1522518843, 9781522518846
DOIs	https://doi.org/10.4018/978-1-5225-1884-6.ch018
Publication status	Published - 10 Feb 2017

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Trust Learning and Estimation

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