LEARNING FUNCTION · π²_s

Read the equation

The expression uses a saturating nonlinear transform to turn its input combination into an activation or bounded score. The coefficients control sensitivity and the offset controls the transition region; a bounded score by itself does not identify a scientific consciousness measure.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

1. Read π²_s as the quantity being defined or updated by this relation.

2. Applies an exponential factor. The exponent determines its real scaling or, for a complex exponent, its phase.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

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STAGE 2: TRUTH MODULATION + NOVELTY SUPPRESSION
π²_s = π¹_s × κ^real_s × e^(-α_ν × ν_s)

κ^real = verification confidence (unverified content can't accumulate coherence)
ν = novelty score (brand new substrates downweighted until stable)

THIS IS THE ANTI-HALLUCINATION GATE

π²_s = π¹_s × κ^real_s × e^(-α_ν × ν_s)

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