Collective Resonance POC

This folder contains:

• theory_statement.tex + refs.bib: a LaTeX manifesto for Algorithmic Intentionality via Resonance.
• A minimal Retrieval-Alignment POC (no weight training).

Quick Start (Windows / Python 3.10)

1. Create a venv and install requirements:

   python -m venv .venv
   .venv\Scripts\activate
   pip install -r requirements.txt

2. Build a simple TF-IDF RAG index:

   python rag_builder.py

3. Run 10 rounds × 10 agents × 10 questions:

   python runner.py

4. Check per-round metrics in logs/round_XXX/metrics.json.

Notes

• Retrieval is TF-IDF to avoid heavy dependencies. You can swap it for sentence-transformers later.
• The code is instrumented for clarity and extensibility; each function has a one-line comment header.