KOWLAN: A Multi Agent System for Bayesian Diagnosis in Telecommunication Networks

被引：0
|
作者：
Garcia-Gomez, Sergio
Gonzalez-Ordas, Javier
Javier Garcia-Algarra, F.
Toribio-Sardon, Raquel
Sedano-Frade, Andres
Buisan-Garcia, Ferran
机构：
来源：
2009 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 3 | 2009年
关键词：
Network Diagnosis; Bayesian Networks; Multiagent Systems; Ontologies;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The classical approach for network diagnosis systems is based on centralized solutions with deterministic algorithms. However, the increased complexity of new networks and services, including customers premises, demands new strategies to face two key challenges: scalability of the system and reliability against incomplete or inaccurate information. This paper describes KOWLAN, a Multiagent system in which agents carry out Bayesian inference to drive the diagnosis process and to obtain diagnosis results. The system has been quickly developed and successfully deployed, and it is contributing to a reduction of the attendance time.
引用
收藏
页码：195 / 198
页数：4
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