Cognitive Modeling

Cognitive modeling aims to understand and replicate human cognitive processes using computational models, primarily to improve AI systems and gain insights into human thinking. Current research focuses on developing more accurate models of human decision-making, language processing, and emotional responses, often employing neural networks, large language models (LLMs), and reinforcement learning techniques. This work is significant because it enhances AI's ability to interact naturally with humans, provides new tools for cognitive science research, and offers potential applications in areas like mental health and personalized education.