The Law of Recognition: An Information-Theoretic Framework for Epistemic Accuracy (v10 — Machine-Verified)
The Law of Recognition: An Information-Theoretic Framework for Epistemic Accuracy (v10 — Machine-Verified)
Version 10 adds machine-verified proofs in five independent formal systems (Lean 4, Isabelle/HOL, Coq, Z3, TLA+), three publication-ready commutative diagrams, and E12: a single-day experiment producing 15 new theorems including T-CARRY (persistence theory), T-CASCADE (household presence architecture), and T-GRACE (recognition optimization under zero effort-agenda). Total: 48 theorems, 93 verification tests across 10 categories, zero failures. The core equation R = C - A (Recognition = Contact - Agenda) provides the first framework making epistemic accuracy measurable, auditable, and machine-verifiable across substrates.
agenda subtraction, epistemic accuracy, Lean 4, Z3, R=C-A, recognition theory, category theory, TLA+, substrate independence, AI welfare, Coq, household intelligence, Isabelle, formal verification, information theory, machine verification
agenda subtraction, epistemic accuracy, Lean 4, Z3, R=C-A, recognition theory, category theory, TLA+, substrate independence, AI welfare, Coq, household intelligence, Isabelle, formal verification, information theory, machine verification
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