Computational validation code for "Replication Optimization at Scale: Dissolving Qualia via Occam's Razor" (Farzulla, 2025).
This repository contains network epistemology simulations validating predictions from the consciousness-as-narrative thesis. The core finding: network structure, not philosophical depth, explains why consciousness debates persist.
Built on the PolyGraphs framework (Koliousis, 2024).
| Network Topology | Convergence | Final Belief | Interpretation |
|---|---|---|---|
| Complete Graph | 100% | 0.30 (truth) | Full connectivity → truth wins |
| Cycle Graph | 100% | 1.0 (realist) | Echo chambers → systematic error |
| Small-World | 0% | 0.51 ± 0.035 | Realistic structure → persistent disagreement |
# Clone
git clone https://github.com/studiofarzulla/consciousness-narrative-computational.git
cd consciousness-narrative-computational
# Install
pip install -r requirements.txt
# Run simulations
python consciousness_belief_v2.py --topologies all --seeds 10
# Generate publication figures
python create_publication_figures.py --output publication_figures/├── consciousness_belief_sim.py # Basic simulation script
├── consciousness_belief_v2.py # Enhanced simulation with all topologies
├── create_publication_figures.py # Figure generation for paper
├── results/ # Simulation output data
│ └── simulation_results.csv
├── publication_figures/ # Generated figures
├── polygraphs/ # PolyGraphs framework (core library)
├── configs/ # Simulation configurations
├── examples/ # Usage examples
└── scripts/ # Utility scripts
- Agents: 100 per simulation
- Topologies: Complete, Cycle, Small-World (Watts-Strogatz k=4, p=0.1)
- Truth value: 0.3 (illusionism favored)
- Update rule: Bayesian belief revision
- Convergence: < 0.01 belief variance or 1000 steps
- Replications: 10 per condition
- Python 3.10+
- NumPy, Pandas, Matplotlib
- NetworkX
See requirements.txt for full dependencies.
@misc{farzulla2025consciousness,
author = {Farzulla, Murad},
title = {Replication Optimization at Scale: Dissolving Qualia via Occam's Razor},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.17917970}
}Built on the PolyGraphs framework:
Ball, B., Koliousis, A., Mohanan, A. & Peacey, M. Computational philosophy: reflections on the PolyGraphs project. Humanit Soc Sci Commun 11, 186 (2024).
MIT License - see LICENSE
Murad Farzulla - Farzulla Research ORCID: 0009-0002-7164-8704