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IndisputableMonolith.Experiments.Protocols

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The Experiments.Protocols module defines type-level structures and prediction functions for EEG and mode-ratio tests of Recognition Science. Experimental physicists designing falsification runs for phi-ladder signals in biological data would cite these definitions. It is a definition module with no theorems or proofs.

claimThe module introduces $ ext{EEGProtocol}$ (structure for EEG setup), $ ext{EEGPrediction}$ (expected phi-peak locations), $ ext{matchesPhiPeak}$ (predicate), $ ext{ModeRatioProtocol}$, and $ ext{HealingProtocol}$ built over $ au_0 = 1$ tick and $ ext{J}$-cost minimization.

background

The module sits in the Experiments domain and imports the RS time quantum $ au_0 = 1$ tick together with the $ ext{PhiEmergence}$ framework that derives $ ext{J}(x) = rac{x + x^{-1}}{2} - 1$ from cost minimization. Sibling declarations supply concrete objects: $ ext{EEGProtocol}$, $ ext{EEGPrediction}$, $ ext{eegPredictions}$, $ ext{EEGFalsification}$, $ ext{matchesPhiPeak}$, $ ext{isEEGFalsified}$, $ ext{ConsciousnessState}$, $ ext{ModeRatioProtocol}$, $ ext{ModeRatioPrediction}$, $ ext{modeRatioPredictions}$, $ ext{ratioInRange}$, and $ ext{HealingProtocol}$.

proof idea

this is a definition module, no proofs

why it matters in Recognition Science

These protocol definitions supply the experimental interface required to test predictions generated by the forcing chain (T5 J-uniqueness through T8 D=3) and the Recognition Composition Law. They connect the abstract phi-ladder mass formula and alpha-band interval to concrete EEG observables, closing the loop from theory to falsifiable measurement.

scope and limits

depends on (2)

Lean names referenced from this declaration's body.

declarations in this module (22)