behaviour-surprisal-analysis
Installation
SKILL.md
Behaviour Surprisal Analysis
Status: Production Ready (v3.0 - Cat# Integration) Trit: 0 (ERGODIC - measurement/observation) Principle: S(x) = -log₂(P(x|attention_mode)) Frame: Tri-channel prediction evaluation with AGM belief revision + Cat# bicomodule structure
Overview
Behaviour Surprisal Analysis calculates information-theoretic surprise between predictions and observed outcomes using three complementary attention channels mapped to Cat# = Comod(P) structure:
| Channel | Trit | Home | Poly Op | Kan Role | Description |
|---|---|---|---|---|---|
| Direct (α) | −1 | Span | × (product) | Ran_K | Exact artifact matching |
| Diffuse (β) | 0 | Prof | ⊗ (parallel) | Adj | Thematic/structural matching |
| Meta (γ) | +1 | Presheaves | ◁ (substitution) | Lan_K | Capability/infrastructure tracking |