Temporal Integration, Bidirectional Criticality and Emergence of Consciousness Hierarchy V39
Zenodo (CERN European Organization for Nuclear Research) June 18, 2026 DOI: 10.5281/zenodo.20964393 via OpenAlex
Summary
AI-generated from the abstractA new theory of consciousness starts from three basic facts: the brain has limited energy (about 20 watts), it must keep the organism alive, and it receives information in discrete chunks. From these, the model describes consciousness as a self-referential closed loop with three measurable variables—temporal span, reconstructive activity, and closed-loop integrity. It explains phenomena like sleepwalking, dreaming, anesthesia, and differences across species, and proposes a five-level consciousness spectrum. Language is used as a natural measure: each complete sentence forms a tiny self-referential loop. The framework also offers a way to distinguish Alzheimer's disease from vascular cognitive impairment and suggests thresholds for artificial general intelligence and distributed consciousness.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Consciousness Hierarchy Constraint computer-aided design Causality physics Forgetting |
| Key finding | Consciousness can be modeled as a hierarchical self-referential closed loop quantified by temporal span, reconstructive activity, and closed-loop integrity, derived from three axioms of limited resources, survival-maintenance goals, and discrete external inputs. |
Abstract
(This is the English version of V39 manuscript, paired with the Chinese full text record in this Zenodo series) Existing theories of consciousness tend to emphasize static causal structures while overlooking both the 20-watt power constraint of the human brain and the central role of temporal dynamics. As a result, they fail to provide a unified account of diverse phenomena including parasomnias, clinical consciousness disorders, and cross-species hierarchical differences. This paper takes three fundamental axioms—limited resources, survival-maintenance goals, and discrete external inputs—as its sole deductive starting point, and constructs a hierarchical self-referential closed-loop model of consciousness quantified by three core variables: temporal span (T), reconstructive activity (A), and closed-loop integrity (C). The model derives a two-step emergence geometry for the self-referential loop—"folding into a circle" (resource convergence) followed by "anchoring into a surface" (self-attribution)—and distinguishes between System B (automated memory archiving) and System A (temporal self-narrative). It elucidates the dual mechanisms of forgetting and the narrative-constructive nature of memory, and deduces core operating principles including three-state gating, downward modulation, and unidirectional information constraint. Based on the bidirectional critical effect, a five-level consciousness spectrum from L0 to L3 is established. Language is identified as a natural metric for T, A, and C (each grammatically complete sentence constitutes a micro self-referential loop), leading to a differential diagnostic framework for Alzheimer's disease versus vascular cognitive impairment. The model provides unified explanations for phenomena including hypoglycemic somatic anxiety, sleepwalking, dreaming, anesthesia, and hierarchical empathy; clarifies the evolutionary conditions for the emergence of carbon-based consciousness; specifies the thresholds for AGI and distributed consciousness; and proposes a set of testable experimental hypotheses. Compared with existing theories, this framework offers three original advantages: unified foundational axioms, comprehensive cross-domain explanatory power, and quantifiable variable metrics. This Version 39is the latest compressed official manuscript; all prior full uncompressed drafts (V1–V38) are obsolete and superseded.