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.