Files
blackroad-os-docs/docs/papers/spiral-information-geometry/sig-overview.md
Alexa Amundson 8f94430012 chore(consolidation): migrate from blackroad-os-ideas and blackroad-os-research
## Summary
- Migrates roadmaps and RFCs from `blackroad-os-ideas`
- Migrates research papers from `blackroad-os-research`
- Part of Phase 1 BlackRoad OS consolidation

## Files Added
- `docs/roadmap/` - 2025 roadmaps
- `docs/rfc/` - RFC templates
- `docs/ideas/` - Idea proposals
- `docs/papers/` - Research papers (PS-SHA, SIG, finance automation)
- `docs/research/` - Research prompts

## Test plan
- [ ] Verify docs build
- [ ] After merge, archive source repos

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Co-authored-by: Alexa Louise <YOUR_REAL_EMAIL@EXAMPLE.COM>
Co-authored-by: Claude <noreply@anthropic.com>
2025-11-30 12:32:38 -06:00

1.7 KiB

Spiral Information Geometry (SIG) Overview

Spiral Information Geometry (SIG) frames knowledge, agents, and state transitions on a spiral manifold. Positions on the spiral capture both path dependency and growth, letting identities be located in a geometry that encodes recurrence, divergence, and convergence of information.

Intuition

The spiral represents the "road" of an evolving system:

  • Path dependency: Movement along the spiral encodes history; nearby turns contain echoes of prior states.
  • Growth: Radial expansion reflects accumulation of capability, context, and commitments.
  • Recurrence: Angular positions revisit themes, allowing cyclic patterns to be recognized and journaled.

Components

  • Factorization: Prime factors or salient attributes define how an agent decomposes into building blocks. These factors map to angular slots or branches.
  • Layers: Radial layers capture maturity, certainty, or energy of a factor; inner layers represent seed states, while outer layers represent committed, externalized knowledge.
  • Factor Trees: Trees organize factors into nested structures that can be rendered onto the spiral to show composition and inheritance.

Applications

  • Agent mapping: Place agents or subsystems on the spiral to track capability clusters and blind spots.
  • Contradiction surfacing: Overlay contradictions as perturbations or opposing vectors at specific angles.
  • Capability planning: Use the spiral to plan expansion paths, balancing radial growth with angular diversity.

TODOs

  • Formalize a mapping from factor trees to spiral coordinates (radius, angle, rotation history).
  • Define metrics for distance and similarity between agents on the spiral.