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THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

ConsciousnessLearn · Explore · Joseph Anady

Power-sharpened allocation distribution

Raises each nonnegative allocation to power γ and renormalizes. For γ>1 this concentrates relative mass on larger entries. The denominator must remain positive; an all-zero vector needs a fallback.

Consciousness researchdocumented formula
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Open guided lesson
eq-d06b6138a9543fmathematical expression
πeffs=(πs3)γ/Σu(πu3)γwhereγ>1π^eff_s = (π³_s)^γ / Σ_u(π³_u)^γ where γ > 1

Read the equation

Raises each nonnegative allocation to power γ and renormalizes. For γ>1 this concentrates relative mass on larger entries. The denominator must remain positive; an all-zero vector needs a fallback.

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 π^eff_s as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  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

Read the surrounding source passage
▼
STAGE 4: COMPETITION SHARPENING + NORMALIZE
π^eff_s = (π³_s)^γ / Σ_u(π³_u)^γ     where γ > 1

Before: [0.40, 0.30, 0.20, 0.10]
After:  [0.53, 0.30, 0.13, 0.03]     ← winner-take-more, still differentiable

▼
OUTPUT: π^eff (sparse allocation weights for master update)
Exact original notation
π^eff_s = (π³_s)^γ / Σ_u(π³_u)^γ     where γ > 1

Related builds

Sources & provenance

01
Complete_Consciousness_Equation_Notes_RAW.txt
line 6284 · Jul 21, 2026
π^eff_s = (π³_s)^γ / Σ_u(π³_u)^γ where γ > 1
02
Pasted text(3).txt
lines 236–300 · Jul 21, 2026
π^eff_s = (π³_s)^γ / Σ_u(π³_u)^γ where γ > 1

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