Published January 17, 2025 | Version v1.0.2
Software Open

augchan42/king-wen-agi-framework: v1.0.2 - minor README Update

Creators

Description

This paper presents evidence that the King Wen sequence of the I-Ching
(Classic of Changes) implements sophisticated learning optimization
principles that parallel modern artificial general intelligence (AGI)
development. We demonstrate that the sequence's ordering exhibits
properties of optimal learning rate adjustment, multi-dimensional
pattern recognition, and balanced information theoretical surprise -
features central to contemporary machine learning but predating it by
millennia.

King Wen AGI Framework v1.0.2

This marks the first release of the King Wen AGI Framework, accompanying our research paper on extending artificial intelligence frameworks through traditional knowledge systems.

Major Components

  • Complete LaTeX source for the research paper
  • Modified arXiv-style template based on NeurIPS 2018
  • VSCode LaTeX build configuration
  • Comprehensive documentation

Key Features

  • Integration of traditional knowledge systems with modern AI frameworks
  • Custom LaTeX style optimized for preprint submissions
  • XeLaTeX build system with full Unicode support
  • Automated build process through VSCode LaTeX Workshop

Documentation

  • Full paper in paper/ directory
  • Build instructions in README.md
  • LaTeX template usage guide

Citing This Work

Please cite this work using the DOI provided through Zenodo (linked in the README).

License

  • Code: MIT License
  • Paper and Documentation: CC-BY 4.0

Acknowledgments

Special thanks to:

  • Original arxiv.sty template creators
  • NeurIPS 2018 style contributors
  • All contributors to the research

Technical Notes

  • Built using XeLaTeX for Unicode support
  • Requires standard LaTeX distribution with XeLaTeX
  • VSCode LaTeX Workshop compatible

Files

augchan42/king-wen-agi-framework-v1.0.2.zip

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Additional details

Related works

Is supplement to
Software: https://github.com/augchan42/king-wen-agi-framework/tree/v1.0.2 (URL)

Software

Repository URL
https://github.com/augchan42/king-wen-agi-framework