arXiv:2503.06138cs.AIcs.RO2025-03被引 8

提出四系统认知框架,整合身体反应与集体智能。

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

  • 引入0/1/2/3四系统模型,涵盖身体、直觉、推理与集体智能
  • 揭示物理形态如何实现无需神经处理的自适应行为
  • 适合认知科学、机器人与集体智能研究者

本文提出System 0/1/2/3框架,扩展双过程认知理论,构建四系统认知模型。在传统System 1(快速直觉)和System 2(慢速推理)基础上,新增System 0(前认知的身体过程)与System 3(集体智能与符号涌现)。通过伯格森多时间尺度理论,统一认知的多元时间动态。System 0强调形态计算与被动动力学,展示身体如何在无显式神经处理下实现适应行为。System 1与2从建构视角出发,融合神经动力学与人工智能观点。System 3引入集体预测编码,解释社会层面适应与符号生成在长时尺度上的运作机制。该框架覆盖从快速身体反应到缓慢集体智能的全谱认知过程,为认知科学、人工智能、机器人及集体智能研究提供统一理论基础。

原文摘要 · Abstract (English)

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.

认知科学多尺度集体智能身体认知

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