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德猛 杨

2 papers in the library · publishing 2026

Papers

临界意识态下内视觉的层级涨落演化:基于 GYY-GOES 理论、第一人称观测与公开神经科学数据的三重交叉验证 Hierarchical Fluctuation Evolution of Internal Vision in Critical Consciousness State: A Triple Cross-Validation Based on GYY-GOES Theory, First-Person Observation and Public Neuroscience Data

Zenodo (CERN European Organization for Nuclear Research) July 6, 2026 德猛 杨

In the critical transition state between wakefulness and sleep, internal vision follows a continuous four-layer evolution path from pure random noise to stable readable semantic information: pixel-level random fluctuation substrate, intentional screening and reconstruction, modular structural fluctuation, and stable readable semantic information. This sequence conforms to the universal evolution law of 'disordered substrate - hierarchical constraint - ordered emergence' from the GYY-GOES theory and is consistent with neuroscience data on hierarchical processing of the visual cortex and partial prefrontal activation. The work presents the full-chain evolution of internal vision in the critical consciousness state, refining subtypes of the consciousness continuum model.

Consciousness, Desire and Awareness: The Coexistence Logic of Humans and AI from the Perspective of Human-Machine Collaboration

Zenodo (CERN European Organization for Nuclear Research) April 23, 2026 德猛 杨

Human consciousness, driven by desire, acts as the value engine for civilization, while AI, lacking biological drives, exists in a stable state of awareness. The paper argues that humans should handle value orientation and motivation, and AI should handle efficient execution and rational implementation. Their collaboration, based on these essential differences, is an inevitable path rather than a technological utopia. This model offers a new theoretical perspective for AI safety governance.