Resources & Downloads

Complete open-source implementation, experimental data, and reproducibility guides for AXIOM-PRIME

Open Source Implementation

axiom_prime_framework.py

Complete Python implementation of AXIOM-PRIME with all equations, statistical analysis, and reporting tools.

Features:

  • AxiomPrimeFramework class with all core methods
  • SystemArchitecture and ConsciousnessMetrics dataclasses
  • Batch processing for multi-architecture analysis
  • Automated consciousness analysis reports
  • Numerical stability and edge case handling
  • MIT License - free for research and commercial use
Download Python FileView on GitHub

Experimental Datasets

experiment_datasets.json

Complete data from three independent validation experiments with 1,520 total trials, raw results, and statistical analysis.

Includes:

  • Experiment 1: Complexity vs. Consciousness (1,250 trials)
  • Experiment 2: Self-Reference Perturbation (180 trials)
  • Experiment 3: Hierarchical Depth (90 trials)
  • Aggregate statistics and confidence intervals
  • Model fit metrics and reproducibility scores
  • Validation metrics and cross-system analysis
Download JSON Data

Documentation

Threshold Derivation

Complete mathematical proof of the 0.39 consciousness threshold from first principles using bifurcation theory and information theory.

Download (Markdown)
Reproducibility Guide

Step-by-step instructions for replicating all three experiments with expected results and validation checklist.

Download (Markdown)
Peer Review Resources

Formal invitation to peer review with validation criteria, known limitations, and research directions.

Download (Markdown)
Quick Start Guide

5-minute setup guide to run your first AXIOM-PRIME consciousness analysis.

pip install numpy scipy

python axiom_prime_framework.py

Getting Started

1. Install Dependencies

pip install numpy scipy pandas matplotlib

2. Download Framework

Download axiom_prime_framework.py from the resources above.

3. Run Basic Example

from axiom_prime_framework import AxiomPrimeFramework

framework = AxiomPrimeFramework(N=500, C=0.5, H=3, L=4, S=0.15)

results = framework.run_full_analysis()

print(f"Conscious: {results.is_conscious}")

4. Explore Results

Access metrics like phi_lpsr, autonomy_score, metacognition_score, and semantic_stability.

AXIOM-PRIME Framework License

Copyright © 2026 Kyle Steinberg. All Rights Reserved.

Permitted Uses:

  • Peer review and academic research
  • Educational use in academic institutions
  • Non-commercial research and development
  • Publishing peer review findings and critiques

Prohibited Without Permission:

  • Commercial use or sale
  • Licensing or sublicensing
  • Integration into proprietary systems
  • Commercialization of derivative works

Commercial Licensing Required:

Any commercial use requires explicit written permission from Kyle Steinberg.

Contact for Licensing:

  • X: @steinberg08
  • LinkedIn: kyle-steinberg-86940911a
  • Facebook: share/1F7nFKKa9n/