An Extraction Mechanism of Perception connected Semantic/Episodic Memory

These days, Chat GPT has already gone beyond simple knowledge processing and is replacing many parts of human intelligence and its functions are evolving at a rapid pace.The basis of chatbot research is human intelligence, which has adapted to harsh environments that has made survival possible for millions of years.In this study, human memory and its operating principles was examined from the perspective of human intelligence research and system modeling.So, we designed structured memory modeling to enable learning/recognition and understanding of objects at the same time.Based on short-term /long-term memory structures, we proposed a mechanism that can extract related knowledge & facts by directly connecting the learning/perception module to sementic/episodic memory.