Intelligent Knowledge Network Management System Considering Internal Entropy Knowledge Cell

Everything in the world has own properties and interacts with other things dynamically. By their associative relationship they are linked , sometimes combined and separated. These features make a living thing possible to survive in the complex environment. As more computational virtual environment is developed rapidly, the requirement of intelligent system adopting the properties of living things is getting high. Accordingly in this paper for making more efficient intelligent system, knowledge network management strategy was proposed by defining their own types and internal entropy of knowledge cell. We apply this system to the virtual memory and show testing results.