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.

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

Fingerprint

Multi agent systems
Learning algorithms
Trust model
Multi-agent systems
Testing
Experiments
Evaluation
Learning algorithm
Rationale
Experiment
Reputation mechanism

Cite this

Lu, G., & Lu, J. (2017). Findings and Discussions on the Neural Trust and Multi-Agent System. In J. Lu, & Q. Xu (Eds.), Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts (pp. 344-366). IGI Global. https://doi.org/10.4018/978-1-5225-1884-6.ch020
Lu, Gehao ; Lu, Joan. / Findings and Discussions on the Neural Trust and Multi-Agent System. Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts. editor / Joan Lu ; Qiang Xu. IGI Global, 2017. pp. 344-366
@inbook{70c6d4195bfd47be9da3b4bde910273f,
title = "Findings and Discussions on the Neural Trust and Multi-Agent System",
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.",
author = "Gehao Lu and Joan Lu",
year = "2017",
month = "2",
day = "10",
doi = "10.4018/978-1-5225-1884-6.ch020",
language = "English",
isbn = "1522518843",
pages = "344--366",
editor = "Joan Lu and Qiang Xu",
booktitle = "Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts",
publisher = "IGI Global",

}

Lu, G & Lu, J 2017, Findings and Discussions on the Neural Trust and Multi-Agent System. in J Lu & Q Xu (eds), Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts. IGI Global, pp. 344-366. https://doi.org/10.4018/978-1-5225-1884-6.ch020

Findings and Discussions on the Neural Trust and Multi-Agent System. / Lu, Gehao; Lu, Joan.

Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts. ed. / Joan Lu; Qiang Xu. IGI Global, 2017. p. 344-366.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Findings and Discussions on the Neural Trust and Multi-Agent System

AU - Lu, Gehao

AU - Lu, Joan

PY - 2017/2/10

Y1 - 2017/2/10

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85028283751&partnerID=8YFLogxK

U2 - 10.4018/978-1-5225-1884-6.ch020

DO - 10.4018/978-1-5225-1884-6.ch020

M3 - Chapter

SN - 1522518843

SN - 9781522518846

SP - 344

EP - 366

BT - Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts

A2 - Lu, Joan

A2 - Xu, Qiang

PB - IGI Global

ER -

Lu G, Lu J. Findings and Discussions on the Neural Trust and Multi-Agent System. In Lu J, Xu Q, editors, Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts. IGI Global. 2017. p. 344-366 https://doi.org/10.4018/978-1-5225-1884-6.ch020