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blackroad-os-research/frameworks/spiral-geometry.md
Alexa Louise bc063c0b74 feat: add core theoretical frameworks
- Z-Framework: universal feedback/equilibrium
- 1-2-3-4 Pauli Model: ontological primitives
- n=π Duality: discrete↔continuous interface
- Creative Energy: contradiction amplification
- Remainder Principle: deviation as signal
- Spiral Information Geometry: planned formalization
2026-01-23 11:48:23 -06:00

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# Spiral Information Geometry
> Status: 🔴 Planned
## Vision
Use **information geometry** to formalize the coherence formula and agent dynamics.
## Core Concepts
| Concept | Meaning |
|---------|---------|
| Fisher Information | Metric on probability distributions |
| Natural Gradient | True direction of steepest descent |
| Geodesic | Shortest path in information space |
| Curvature | How much space "bends" around a point |
## Research Agenda
### 1. Coherence as Distance
- C(t) = geodesic distance between agent states?
- Coherent agents = nearby in information space
### 2. Contradiction as Curvature
- High δ_t = high curvature regions
- Creative energy peaks at curvature maxima
### 3. Learning as Parallel Transport
- Agent learning = transport along geodesics
- Memory = holonomy (what changes after round trip)
### 4. Partition Function as Potential
- Z = Σ e^{-βH} defines a potential landscape
- Equilibrium = potential minimum
## Connections
- **n=π Duality**: Fisher metric on discrete vs continuous?
- **Creative Energy**: K(t) related to scalar curvature?
- **Remainder Principle**: Curvature = remainder of flatness
## Next Steps
1. Formalize C(t) using Fisher-Rao metric
2. Compute geodesics for simple agent models
3. Relate curvature to δ_t experimentally
## References
- Amari, S. "Information Geometry and Its Applications"
- Nielsen, F. "An Elementary Introduction to Information Geometry"