时序整合、双向临界与意识层级涌现 压缩V57 Temporal Integration, Bidirectional Criticality and Emergence of Consciousness Hierarchy V57
Zenodo (CERN European Organization for Nuclear Research) June 18, 2026 DOI: 10.5281/zenodo.21211607 via OpenAlex
Summary
AI-generated from the abstractA new theory of consciousness proposes that the brain's 20-watt power limit and the timing of neural activity are essential for explaining sleep disorders, clinical consciousness problems, and differences across species. The model uses three axioms—limited resources, survival goals, and discrete inputs—to define consciousness with three variables: temporal span, reconstruction activity, and closed-loop integrity. It describes how self-referential loops emerge through two steps, distinguishes two cognitive systems, explains forgetting and memory as narrative construction, and redefines qualia as internal calibration signals. The theory establishes a five-level consciousness spectrum, uses language as a measurement tool, and offers a diagnostic framework for Alzheimer's disease.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Consciousness Hierarchy Metric unit Constraint computer-aided design Causal model |
| Key finding | Consciousness can be modeled as a hierarchical self-referential closed loop quantified by temporal span, reconstruction activity, and closed-loop integrity, providing a unified account of diverse cognitive and clinical phenomena. |
Abstract
现有意识理论偏重静态因果结构,忽视人脑20瓦功耗约束与时序动力学核心地位,难以统一解释睡眠异态、临床意识异常、跨物种层级差异等现象。本文以资源有限、存续目标、离散输入三条公理为起点,建构由时序跨度T、重构活跃度A、闭环完整度C量化描述的自指闭环层级意识模型,推导“对折成圈+锚定成面”两步涌现几何,区分双认知系统,阐明遗忘双重机制与记忆的叙事建构本质,推导门控三态与下行调制规则。模型将感受质定义为自指闭环的内生校准信号,将查尔默斯意识难问题转化为参数区间问题。依托双向临界效应划分五级意识谱系,提出语言是T/A/C天然测量标尺,建立阿尔茨海默病分型诊断框架。模型可统一解释多类认知与临床现象,推导碳基意识演化条件与AGI生成门槛,具备统一公理、跨域解释力、可量化标尺三大原创优势。 Existing theories of consciousness tend to focus on static causal structures while neglecting the 20-watt power constraint of the human brain and the central role of temporal dynamics, leaving diverse phenomena—parasomnias, clinical disorders of consciousness, cross-species hierarchical differences—without a unified account. Starting from three fundamental axioms—limited resources, survival-maintenance goals, and discrete external inputs—this paper constructs a hierarchical self-referential closed-loop model quantified by three core variables: temporal span T, reconstruction activity A, and closed-loop integrity C. The model derives the two-step emergence geometry of the self-referential loop—"folding into a circle (resource convergence)" followed by "anchoring into a surface (self-attribution)"—distinguishes System B (automated archiving) from System A (temporal self-narrative), elucidates the dual mechanisms of forgetting and the narrative construction nature of memory, and deduces core rules including three-state gating and downward modulation. Qualia are defined here as endogenous calibration signals of the self-referential closed loop, reframing Chalmers' hard problem of consciousness as a parameter-interval problem. Based on the bidirectional critical effect, a five-level consciousness spectrum (L0–L3) is established; language is identified as a natural metric for T, A, C (each complete sentence constitutes a micro self-referential loop), leading to a differential diagnosis framework for Alzheimer's disease versus vascular cognitive impairment. The model provides unified explanations of multiple cognitive and clinical phenomena, clarifies the evolutionary prerequisites for carbon-based consciousness and the generation thresholds for AGI, and offers three original strengths: unified foundational axioms, cross-domain explanatory power, and quantifiable variable metrics. This Version 57is the latest compressed official manuscript; all prior full uncompressed drafts (V1–V56) are obsolete and superseded.