Hierarchical Learning/Perception and Conceptual Semantic Network System (HLPCS)

In the field of AI, research on building effective memory and management mechanisms for knowledge processing is very important. Memory framework effects on the performance of system directly. As one of these approaches, in this paper, research on memory modeling proposes a mechanism to construct memory by receiving information, learning and organizing it as personal experiences are accumulated. Hierarchical Learning/Perception and Conceptual Semantic Network System (HLPCS) was designed for efficient memory framework. In the experiment, the working performance of proposed system was simulated with data.