Disclosed are a non-invasive control method and system for a human learning and inference process at behavioral and neural levels using a brain-inspired artificial intelligence technique. The non-invasive control system may transplant a model, designed in relation to a user's learning and inference, into artificial intelligence and training the user's behavior for knowledge data through a reinforcement learning agent, and may control task variables related to the user's learning and inference for the knowledge data based on the learning mechanism of the user derived based on the trained user's behavior.
NON-INVASIVE CONTROL APPARATUS AND METHOD FOR HUMAN LEARNING AND INFERENCE PROCESS AT BEHAVIORAL AND NEURAL LEVELS BASED ON BRAIN-INSPIRED ARTIFICIAL INTELLIGENCE TECHNIQUE