Modeling Human Cognitive Processes in AI Through Metacognitive Architectures

The paper proposes a multi-agent AI architecture inspired by Kahneman's System 1 (fast) and System 2 (slow) thinking models, aiming to enhance AI systems with human-like metacognitive capabilities. It addresses current limitations of narrow AI by integrating world models and self-models to enable adaptive problem-solving through deliberate reasoning and experiential learning.

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