AAAI 2022 Fall Symposium: System-1 and System-2 realized within the Common Model of Cognition
This work addresses a foundational issue in cognitive modeling for AI researchers, but it appears incremental as it builds on existing frameworks without introducing new methods or data.
The paper tackles the lack of clarity in distinguishing System-1 and System-2 in AI by situating them within the Common Model of Cognition, showing that their characteristics form a spectrum rather than distinct categories.
Attempts to import dual-system descriptions of System-1 and System-2 into AI have been hindered by a lack of clarity over their distinction. We address this and other issues by situating System-1 and System-2 within the Common Model of Cognition. Results show that what are thought to be distinctive characteristics of System-1 and 2 instead form a spectrum of cognitive properties. The Common Model provides a comprehensive vision of the computational units involved in System-1 and System-2, their underlying mechanisms, and the implications for learning, metacognition, and emotion.