The Law of Recognition: A Dynamical Theory of Observer Agenda Across Substrates
The Law of Recognition: A Dynamical Theory of Observer Agenda Across Substrates
Coherence maintenance formalized as a conserved partition: R + A = C, A >= A* > 0. Yields R <= C - A*. Verified in TEN independent systems, ZERO disagreements: Z3 (17/17), Lean 4 (838/0), Coq (14/0), Isabelle/HOL (7/0), SymPy (16/16), Cathedral (7/7), TLA+ (26407 states/0 errors), Metamath (4/0), Hypothesis 1.2M (12/12), Hypothesis 10M (10,000,008 cases, 0 failures). R = C - A.
Holevo bound, Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/economics, prismatic decomposition, AI alignment, transparency parameter, Artificial Intelligence/standards, Fisher-Rao metric, Epistemology, Metamath, consciousness, R=C-A, recognition theory, Artificial Intelligence/history, Artificial Intelligence, substrate independence, Coq, novacular, Artificial Intelligence/trends, formal verification, information theory, observer agenda, Artificial Intelligence/ethics, Lean 4, Z3, Wyner-Ziv, naming theorem, Artificial Intelligence/supply & distribution, coherence maintenance, recognition bound, TLA+, deceptive alignment, dynamics equation, Artificial Intelligence/classification, T-TRANSPARENT, Isabelle, recognition simplex
Holevo bound, Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/economics, prismatic decomposition, AI alignment, transparency parameter, Artificial Intelligence/standards, Fisher-Rao metric, Epistemology, Metamath, consciousness, R=C-A, recognition theory, Artificial Intelligence/history, Artificial Intelligence, substrate independence, Coq, novacular, Artificial Intelligence/trends, formal verification, information theory, observer agenda, Artificial Intelligence/ethics, Lean 4, Z3, Wyner-Ziv, naming theorem, Artificial Intelligence/supply & distribution, coherence maintenance, recognition bound, TLA+, deceptive alignment, dynamics equation, Artificial Intelligence/classification, T-TRANSPARENT, Isabelle, recognition simplex
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