Metacognitive Difficulty

Metacognitive difficulty focuses on the challenges individuals and artificial intelligence systems face in monitoring and controlling their own cognitive processes, hindering effective problem-solving and decision-making. Current research investigates this in various contexts, including programming, AI model bias, and robotic control, employing techniques like deep reinforcement learning and Bayesian model selection to understand and improve metacognitive abilities. Findings highlight the crucial role of metacognition in achieving robust and reliable performance, with implications for designing more effective AI systems and educational interventions that enhance human learning and problem-solving skills.