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The aim of this paper is to present a real time fuzzy expert system (as an agent) shell to meet the challenges of the dynamic environment, like Virtual Organizations. Time restrictions are not excessive in usual distributed applications. Critical time reasoning problems may occur in case of faulty operations and overloading. At present, the reasoning depth developed for such system is still poor. Conventional expert system shells are too slow for real-time environments, and their inference process is unbounded. We need a reactive, interruptible system that can assimilate data and asynchronous events, and present the operator with a reasoned opinion in a timely manner. Speed alone is not enough. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The Knowledge Management Systems based on Agent Technology (KMSAT) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence.