rpp
Recursive Pareto Principle (RPP)
λL.τ : Domain → OptimisedSchema via recursive Pareto compression
Purpose
Generate hierarchical knowledge structures where each level achieves maximum explanatory power with minimum nodes through recursive application of the Pareto principle.
Core Model
L0 (Meta-graph/Schema) ← 0.8% nodes → 51% coverage (Pareto³)
│ abductive generalisation
▼
L1 (Logic-graph/Atomic) ← 4% nodes → 64% coverage (Pareto²)
│ Pareto extraction
▼
L2 (Concept-graph) ← 20% nodes → 80% coverage (Pareto¹)
│ emergent clustering
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