Paper Proposes Dual-System Multi-Agent AI Architecture Based on Metacognition
A 2021 paper proposes a multi-agent AI architecture inspired by Kahneman's fast-and-slow thinking: 'fast' system-1 agents react from past experience, while 'slow' system-2 agents activate when reasoning and search are needed. The authors argue metacognition could help AI acquire missing human-like capabilities.