Knowledge Network Reconstruction by Active/Inactive TM Selection Mechanism for Personal Viewpoint Level Based Retrieval

As modern technology develops, the paradigm of thinking structure is changing to personal based selecting system. For catching up this paradigm , it is important to design an intelligent system which has functions of Data selection, Adaptive learning, efficient memory construction and efficient knowledge retrieval. In this paper adapting the function of brain we design Reticular Activating System which takes charge of information selection, Knowledge network Reconstructing mechanism by Active/Inactive TM Selection in the personal point of view. Type definition and Active/Inactive Type matching selection mechanism are specially implemented for flexible memory structure. This mechanism was applied to virtual memory and tested.