Modeling knowledge flow and learning strategy in multi-agent system

This study proposed an integral concept and methodology of knowledge management with procedural methods to enhance the efficiency and productivity of managing knowledge-Knowledge State Transition. It provides flexible treatments for promoting the feasibilities of knowledge management. This article also proposes a suitable model for managing and presenting knowledge by using computer aspect and shows the important of learning mechanism. At first, the knowledge map architecture is proposed to achieve knowledge navigation, knowledge dissemination and knowledge sharing in this study. In learning model, this study constructed the models by information technology, it not only could quantify these extract data and infer some formulas. It can help us to use the right method to learning and choose the useful knowledge to management. It will focus on that, major is that let learner achieve auxiliary effect during learning process by information technology and can quantify and modularize, not infer automatically. © 2031 Asian Network for Scientific Information.