AIRONCMar 8, 2025

System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems

arXiv:2503.06138v37 citationsh-index: 11Artificial Life
Originality Synthesis-oriented
AI Analysis

This provides a novel theoretical foundation for cognitive science, AI, robotics, and collective intelligence, though it appears incremental as an extension of existing theories.

The paper tackles the problem of understanding cognition across multiple timescales by proposing the System 0/1/2/3 framework, which extends dual-process theory to include embodied and collective processes, resulting in a unified theoretical model for adaptive and cognitive systems.

This paper introduces the System 0/1/2/3 framework as an extension of dual-process theory, employing a quad-process model of cognition. Expanding upon System 1 (fast, intuitive thinking) and System 2 (slow, deliberative thinking), we incorporate System 0, which represents pre-cognitive embodied processes, and System 3, which encompasses collective intelligence and symbol emergence. We contextualize this model within Bergson's philosophy by adopting multi-scale time theory to unify the diverse temporal dynamics of cognition. System 0 emphasizes morphological computation and passive dynamics, illustrating how physical embodiment enables adaptive behavior without explicit neural processing. Systems 1 and 2 are explained from a constructive perspective, incorporating neurodynamical and AI viewpoints. In System 3, we introduce collective predictive coding to explain how societal-level adaptation and symbol emergence operate over extended timescales. This comprehensive framework ranges from rapid embodied reactions to slow-evolving collective intelligence, offering a unified perspective on cognition across multiple timescales, levels of abstraction, and forms of human intelligence. The System 0/1/2/3 model provides a novel theoretical foundation for understanding the interplay between adaptive and cognitive processes, thereby opening new avenues for research in cognitive science, AI, robotics, and collective intelligence.

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