DocumentCode :
2124551
Title :
A Three-Layer Cooperative Knowledge Modeling of Multi-agent Conflict System Based on Healthcare Sensor Decision Network
Author :
Dai, Zhifeng ; Sun, Baolin ; Wang, Hong ; Li, Yuanxiang
Author_Institution :
Sch. of Comput., Hubei Univ. of Econ., Wuhan
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
157
Lastpage :
160
Abstract :
With the promising practical application of WSN in EHS, this paper addresses itself to the interesting problem on uncertainty management up to knowledge modeling of healthcare sensor data. Enlightening ourselves on the inherently distributed as well as intelligent characteristic in common among WSN, MAS and RST, we propose a hybrid and multi-agent framework HSDN and the corresponding solution to three-layer cooperative knowledge modeling HSDN-MAHCKM, which result in gaining much informative insight into the inconsistent healthcare knowledge of multi-agent conflict system. And as expected, the tutorial conflict analysis of HSDN-MAHCKM based upon decision network, which provides a more quantitative rather than qualitative treatment of uncertainty in decisions, can deal with the real scenario with some noises and endow the various information processing agents with the capability to learn how to choose the most appropriate coordination strategy.
Keywords :
health care; multi-agent systems; cooperative knowledge modeling; healthcare sensor decision network; multiagent conflict system; tutorial conflict analysis; Information analysis; Information processing; Intelligent sensors; Medical services; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications; Uncertainty; Wireless sensor networks; cooperative knowledge modeling; healthcare sensor decision network; multi-agent conflict system; rough set; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
Type :
conf
DOI :
10.1109/KAM.2008.178
Filename :
4732806
Link To Document :
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