Findings and Discussions on the Neural Trust and Multi-Agent System

Gehao Lu, Joan Lu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter focuses on the testing for a complete systematic neural trust model developed previously based on the trust learning algorithms, trust estimation algorithm and reputation mechanisms. The focus is to describe the detailed design of the model and explain the rationales behind the model design. The purpose is to evaluate the proposed neural trust model from different aspects and analyze the results of the evaluations. Experiments have been conducted. Results are presented and discussed. Finally, based on the analysis and comparison of acquired results, conclusions are drawn.

Original languageEnglish
Title of host publicationExamining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts
EditorsJoan Lu, Qiang Xu
PublisherIGI Global
Pages344-366
Number of pages23
ISBN (Electronic)9781522518853
ISBN (Print)1522518843, 9781522518846
DOIs
Publication statusPublished - 10 Feb 2017

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