Research Explores Metacognition as a Bridge Between Fast and Slow AI Thinking

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A research paper published on arXiv examines the role of metacognition in artificial intelligence systems. The study draws on the dual-process theory popularized by Daniel Kahneman, which distinguishes between fast, intuitive thinking and slow, deliberate reasoning. Researchers investigate how metacognitive mechanisms could help AI systems better regulate and switch between these two modes of processing. The work aims to improve AI decision-making by enabling systems to reflect on and monitor their own cognitive processes.

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