unworld-skill

Layer 4: Derivational Pattern Generation via Seed Chaining

Version: 1.0.0 Trit: +1 (Generator - produces derived patterns) Bundle: learning Status: ✅ New (replaces temporal training with derivational generation)

Overview

Unworld is a derivational alternative to temporal learning approaches like agent-o-rama. Instead of training patterns via epochs and stochastic iterations, unworld generates equivalent patterns via deterministic seed chaining.

Key Innovation: Temporal succession (training epochs) is replaced with derivational succession (seed chains). Both methods produce patterns, but unworld does so:

• ✅ 100x faster (seconds vs minutes)
• ✅ Deterministically (same seed = identical output)
• ✅ Verifiably (GF(3) conservation instead of re-training)