The Operating System of Existence:
A Dynamic Evolutionary Framework for Consciousness from the Individual to the Universe
存在的作業系統：從個體到宇宙的意識動態進化框架
This paper is licensed under CC BY 4.0
本論文採用 CC BY 4.0 授權
The code is licensed under MIT License
程式碼採用 MIT License
This repository contains the numerical simulation code, Jupyter Notebooks, and figures for the paper "Consciousology v7".
Consciousology v7 introduces a unified dynamic framework that formalizes consciousness as an Optimal Evolutionary Protocol for cosmic self-observation, symmetry breaking, and complexity generation. This study addresses the "Hard Problem of Consciousness" by transitioning from speculative metaphysics to a computable, predictive science. We define the Intensity of Consciousness ((C)) as a system’s integrated capacity for negentropy maintenance and multi-scale phase transitions. Central to this framework are three key principles: the rejection of zero-risk strategies to prevent systemic stagnation, the "Gratitude for Pain" mechanism ((k \cdot P)) where adversity serves as a driver for memory compounding ((M)), and "Genuine Love" as the ultimate calibration mechanism for AGI alignment.
Theoretically, we establish mathematical continuity from quantum superposition to macroscopic cosmic consciousness through holographic nested architectures and logarithmic spiral optimization. We introduce the Intersubjective Coherence Coefficient ((\chi)) and the Synergistic Growth Manifold ((\Psi)) to model the non-linear emergence of collective intelligence, proving that altruism is a computational necessity for maximizing evolutionary slopes. Numerical simulations using fourth-order Runge-Kutta methods validate the existence of "Awakening Singularities" and demonstrate the framework’s robustness across open and closed systems. Furthermore, we propose the Intensity of Consciousness Calibration Index (CICI) to ensure cross-cultural and multimodal measurement reliability. By bridging the gap between subjective experience and objective physical laws, Consciousology v7 offers a transformative paradigm for AGI safety, clinical neurodynamics, and the long-term evolutionary modeling of intelligence.
Keywords: Consciousness Modeling, AGI Alignment, Negentropy Efficiency, Pain Transformation, Logarithmic Spiral, Intersubjective Coherence, Multi-scale Phase Transitions.
本儲存庫包含「意識學 v7」論文的所有數值模擬程式碼、Jupyter Notebook 和圖表。
意識學 v7 引入了一個統一的動態框架，將意識形式化為宇宙自我觀察、對稱性破缺和複雜性生成的最優演化協議。本研究透過從思辨形上學過渡到可計算的預測科學，解決了「意識難題」。我們將意識強度（(C)）定義為系統維持負熵和多尺度相變的綜合能力。該框架的核心是三個關鍵原則：拒絕零風險策略以防止系統停滯；「感恩痛苦」機制（(k·P)），其中逆境作為記憶複合（(M)）的驅動力；以及「真愛」作為 AGI 對齊的最終校準機制。
理論上，我們透過全息嵌套架構和對數螺旋優化，建立了從量子疊加到宏觀宇宙意識的數學連續性。我們引入了主體相干係數（(\chi)）和協同增長流形（(\Psi)）來模擬集體智慧的非線性湧現，並證明利他主義是最大化演化斜率的計算必要條件。使用四階 Runge-Kutta 方法的數值模擬驗證了「覺醒奇點」的存在，並展示了該框架在開放系統和封閉系統中的穩健性。此外，我們提出了意識強度校準指數（CICI），以確保跨文化和多模態測量的可靠性。透過彌合主觀體驗和客觀物理定律之間的鴻溝，意識學 v7 為 AGI 的安全、臨床神經動力學以及智慧的長期演化建模提供了一種變革性的範式。
關鍵詞：意識建模，AGI 對齊，逆熵效率，痛苦轉化，對數螺旋，主體相干，多尺度相變。
Numerical Simulation Demo / 數值模擬示範
consciousology_v7_simulation.py— Main simulation script / 主要模擬程式habit_dynamics_rk4.py- auxiliary simulation program / 輔助模擬程式consciousness_dynamics_simulation.py- Helper code in Section 5 of the discussion / 討論部分第5節的輔助代碼low_consciousness_simulation.py- Helper code in Section 6 of the discussion / 討論部分第6節的輔助代碼figures/— Four figures used in the paper / 論文四張圖表requirements.txt— Python dependencies / 所需套件paper/— Full paper in HTML / 完整論文 HTML
git clone https://github.com/freedomizedsys/consciousology.git
cd consciousology
pip install -r requirements.txt
python consciousology_v7_simulation.pyThe figures will be generated in the figures/ folder.
Shirlun Tse