loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)
Discovery and Sharing of Knowledge with Self-Organized Agents
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1931-8
ASCII Text
x 
 
L. K. Wickramasinghe, L. D. Alahakoon, "Discovery and Sharing of Knowledge with Self-Organized Agents," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 126, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/IAT.2003.1241058,
author = {L. K. Wickramasinghe and L. D. Alahakoon},
title = {Discovery and Sharing of Knowledge with Self-Organized Agents},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1931-8},
pages = {126},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2003.1241058},
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 - Discovery and Sharing of Knowledge with Self-Organized Agents
SN - 0-7695-1931-8
SP
EP
A1 - L. K. Wickramasinghe,
A1 - L. D. Alahakoon,
PY - 2003
KW - knowledge discovery
KW - knowledge sharing
KW - self-organization
KW - unsupervised learning
KW - hierarchical clustering
KW - data mining
KW - distributed agents
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
L. K. Wickramasinghe, Monash University, Australia
L. D. Alahakoon, Monash University, Australia
This paper describes a system, which has the capability to analyze and discover knowledge gathered from distributed sources. This autonomous system is implemented using the Growing Self Organizing Map (GSOM), which is a dynamic version of the Self Organizing Map (SOM) and a multi agent communication system. The important contribution of this model is its ability to transfer local knowledge to a central knowledge base referred to as a central controller where the data is clustered and analyzed to identify similarities and variations. Central controller has the capability of transferring back its global knowledge to the distributed sources.
Index Terms:
knowledge discovery, knowledge sharing, self-organization, unsupervised learning, hierarchical clustering, data mining, distributed agents
Citation:
L. K. Wickramasinghe, L. D. Alahakoon, "Discovery and Sharing of Knowledge with Self-Organized Agents," iat, pp.126, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.