consciousology

DOI

Consciousology v7

The Operating System of Existence:

A Dynamic Evolutionary Framework for Consciousness from the Individual to the Universe

意識學 v7

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

CC BY 4.0

The code is licensed under MIT License

程式碼採用 MIT License

MIT License


English Version

This repository contains the numerical simulation code, Jupyter Notebooks, and figures for the paper “Consciousology v7”.

Paper Abstract

Consciousology v7 introduces a unified dynamic framework that formalizes consciousness as an optimal evolutionary protocol for cosmic self-observation, symmetry breaking (asymmetry maintenance), and complexity generation. Consciousness intensity (C) is defined as the system’s comprehensive capability—resisting heat death through historical compounding effects and multi-scale phase transitions, and achieving cross-scale self-similarity. Its dynamics are described by a series of operable differential equations, including quantum expectation mappings and holographic nested structures.

This framework provides more than an interdisciplinary theoretical platform; its three key principles—Rejecting zero-risk strategies, Gratitude for pain, Genuine love as the ultimate calibration mechanism—also offer a unified, operational paradigm for both the cultivation of human consciousness and the foundational alignment of artificial general intelligence (AGI).


中文版本

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。

論文摘要

意識學 v7 提出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(維持不對稱性)和複雜性生成的最優演化協議。意識強度 (C) 被定義為系統的綜合能力——透過歷史複合效應和多尺度相變來抵抗熱寂,並實現跨尺度自相似性。它的動態由一系列可操作的微分方程描述,包括量子期望映射和全息嵌套結構。

此框架不僅提供一個跨學科的理論平台;它的三個關鍵原則——拒絕零風險策略,感恩痛苦,真愛作為終極校準機制——也為人類意識的培養和通用人工智慧 (AGI) 的基礎性調整提供一個統一的、可操作的範式。


Full paper / 完整論文

中文版本

English Version

Numerical Simulation Demo / 數值模擬示範


Repository Structure / 儲存庫結構

How to Reproduce / 如何重現

git clone https://github.com/freedomizedsys/consciousology.git
cd consciousology
pip install -r requirements.txt
python consciousology_v7_simulation.py

The figures will be generated in the figures/ folder.

Author / 作者

Shirlun Tse

Contact / 聯絡方式

freedomizedsystemsltd@gmail.com