Thinking Fast and Slow in AI: the Role of Metacognition
Summary
The paper argues for incorporating metacognition in AI by modeling fast (system 1) and slow (system 2) reasoning, and proposes a multi-agent architecture that uses world and self models to extend AI capabilities beyond narrow tasks. It highlights potential benefits for AI tools and applications through reflective, adaptive decision making.