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System 0/1/2/3: Quad-Process Theory for Multitimescale Embodied Collective Cognitive Systems.

Tadahiro Taniguchi1, Yasushi Hirai2, Masahiro Suzuki3

  • 1Kyoto University, Ritsumeikan University. taniguchi@i.kyoto-u.ac.jp.

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Summary
This summary is machine-generated.

This study proposes the System 0/1/2/3 quad-process model, extending dual-process theory to include precognitive embodied processes (System 0) and collective intelligence (System 3). This framework unifies cognition across multiple timescales, from embodied reactions to societal adaptation.

Keywords:
Bergson’s philosophyCognitive systemsmultiagent systemspredictive codingrobotics

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Neuroscience
  • Philosophy of Mind

Background:

  • Dual-process theory distinguishes System 1 (intuitive) and System 2 (deliberative) thinking.
  • Existing models often overlook precognitive embodied processes and collective intelligence.
  • Bergson's philosophy and multiscale time theory offer insights into temporal dynamics of cognition.

Purpose of the Study:

  • Introduce the System 0/1/2/3 framework as a quad-process model of cognition.
  • Extend dual-process theory to incorporate embodied and collective intelligence.
  • Provide a unified perspective on cognition across diverse timescales and levels of abstraction.

Main Methods:

  • Conceptual framework extending dual-process theory to a quad-process model.
  • Integration of precognitive embodied processes (System 0) and collective intelligence (System 3).
  • Application of Bergson's multiscale time theory to unify cognitive temporal dynamics.

Main Results:

  • System 0: Morphological computation and passive dynamics in embodied adaptation.
  • Systems 1 & 2: Constructive perspective integrating neurodynamics and AI.
  • System 3: Collective predictive coding for societal adaptation and symbol emergence.

Conclusions:

  • The System 0/1/2/3 model offers a comprehensive framework for cognition.
  • It unifies rapid embodied reactions with slow-evolving collective intelligence.
  • Opens new research avenues in cognitive science, AI, robotics, and collective intelligence.