Random Walk Fusion: Skill Graph Navigation
Status: ✅ Production Ready
Trit: +1 (PLUS - generative recombination)
Principle: skill_{n+1} = walk(seed_n, graph_n)
Frame: Skills as nodes, concepts as edges, walks as derivations
Overview
Random Walk Fusion traverses skill graphs using deterministic random walks to discover novel skill combinations. Each step derives from the previous via seed chaining, producing reproducible concept-blending paths.
seed₀ → skill₀ → concept₀ → seed₁ → skill₁ → concept₁ → ...
Fused Components
| Source Skill | Contribution | Integration |
|---|
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