辰式方程 V1.0(系统意识动力学方程)推导与规范

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Authors: Futao Zhao
Cited by: 0

Abstract

This paper presents and fully derives the fifth - layer equation, Chen - style Equation V1.0 (System Consciousness Dynamics Equation), in the “Zi - Chou - Yin - Mao - Chen” five - layer equation system of Zhao Futao's theoretical framework. This equation is designed for the Chen - level (system network level) and aims to describe the evolution of the overall consciousness state of complex networks composed of multiple subsystems with inherent “consciousness dimensions”. The equation strictly follows the paradigm of Yi - style Equation V4.0, “State = Historical Memory × Environmental Gain”, and for the first time, embeds the symbol matrix S of generation and restriction relationships defined in the “Specification for Symbolic Representation of Five - Element Interactions” as a core coupling module into the dynamics framework. The equation is in the form of:dtd​ C (t)=Φ⊙( C ref − C (t))+(Γ⊙S)⋅ C (t)+ I (t)where C (t) is a five - dimensional consciousness state vector, C ref is the eigen - reference state (anchored by historical memory), Φ is the regression rate matrix, Γ is the five - element interaction intensity matrix, S is the fixed generation - restriction symbol matrix, and I (t) is the external input. This paper elaborates on the equation's theoretical basis, mathematical derivation, parameter system, connection method with the five - element specification, and provides a clear verification and calibration path based on three falsifiable hypotheses in the specification. The establishment of Chen - style Equation V1.0 marks the completion of a cross - level dynamics modeling loop in Zhao Futao's theoretical system from microscopic particles to complex system networks, providing a unified computable framework for the quantitative study of Chen - level systems such as microbial populations, tissue and organ prototypes, ecosystem prototypes, and economic subsystems.

Fields of Study & Subjects

Complex Systems and Dynamics Philosophy and Theoretical Science Psychiatry Mental Health Neuroscience

Publication details

Journal / source
Figshare
Publication date
7 March 2026
Language
EN
Document type
Preprint