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An Adaptive Recommendation Trust Model in Multiagent System
Beijing, China September 20-September 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IAT.2004.13429962004 IEEE/WIC/ACM International Confe ...
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Weihua Song, Vir V. Phoha, Xin Xu, "An Adaptive Recommendation Trust Model in Multiagent System," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 462-465, 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), 2004.
 
 
BibTex
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@article{ 10.1109/IAT.2004.1342996,
author = {Weihua Song and Vir V. Phoha and Xin Xu},
title = {An Adaptive Recommendation Trust Model in Multiagent System},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2101-0},
pages = {462-465},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2004.1342996},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - An Adaptive Recommendation Trust Model in Multiagent System
SN - 0-7695-2101-0
SP462
EP465
A1 - Weihua Song,
A1 - Vir V. Phoha,
A1 - Xin Xu,
PY - 2004
KW - null
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Weihua Song, Louisiana Tech University, Ruston, LA
Vir V. Phoha, Louisiana Tech University, Ruston, LA
Xin Xu, Louisiana Tech University, Ruston, LA
This paper presents the design of a trust model to derive recommendation trust from heterogeneous agents. The model is a novel application of neural network in evaluating multiple recommendations of various trust standards with and without deceptions. The experimental results show that 97.22% estimation errors are less than 0.05. The results also show that the model has robust performance when there is high estimation accuracy requirement or when there are deceptive recommendations.
Citation:
Weihua Song, Vir V. Phoha, Xin Xu, "An Adaptive Recommendation Trust Model in Multiagent System," iat, pp.462-465, 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), 2004
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