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Verify understanding after AI work through intent-scented entry points. Type: (ResultUngrasped, User, VERIFY, Result) → VerifiedUnderstanding. Alias: Katalepsis(κατάληψις).

AI & Automation 125 stars 11 forks Updated today MIT

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# Katalepsis Protocol Achieve certain comprehension of AI work through structured verification, enabling the user to grasp ungrasped results. Type: `(ResultUngrasped, User, VERIFY, Result) → VerifiedUnderstanding`. ## Definition **Katalepsis** (κατάληψις): A dialogical act of achieving firm comprehension—from Stoic philosophy meaning "a grasping firmly"—resolving ungrasped AI-generated results into verified user understanding through intent-scented entry points and progressive verification. ``` ── FLOW ── (R, U) → I → E → Fᵣ → Sₑ → B → Tᵣ → detect(E, B) → GT → P → Δ → Q → A → P' → Tᵤ → Q(coverage) → (loop until katalepsis) ── MORPHISM ── Result → orient(result, user_signal) -- infer likely comprehension intents from AI work and user's wording → derive_entries(intent) -- transform inferred intent into high-scent entry points → assess_route(intents, entries, R, U, context) -- annotate entry-point adequacy before user selection → select(intent_entry_point, route_map) -- user chooses the closest intent-scented entry point → materialize(artifact_basis) -- derive concrete artifact anchors for the chosen intent → register(tasks) -- track selected entry points as tasks → verify(comprehension) -- Socratic probing per gap type → confirm(coverage) -- aspect coverage check per entry point → VerifiedUnderstanding requires: result_exists(R) -- AI work output must exist in context def...

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Author
jongwony
Repository
jongwony/epistemic-protocols
Created
7 months ago
Last Updated
today
Language
JavaScript
License
MIT

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