Fractalnomia proposes that consciousness, memory, and structure are recursively generated across scales through self-similar dynamics. This simulation provides an early computational prototype of that idea.
- Consciousness Nodes: Complex recursion mappings
- Burst Embeddings: Latent node feature vectors
- Novelty Detection: PCA + Dynamic MAD Threshold
- Anomaly Detection: Isolation Forest
- Harmonic Interference Mapping
- System Coherence Analysis
- Install dependencies:
pip install -r requirements.txt - Run the simulation:
python fractalnomia_simulation_v1.py - View generated visualizations
- Real-world bursts
- Recursive fields for adaptive AI training
- Interference-based learning models