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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

seferim-core · Learning Drive: Γ

This relation defines Learning Drive: Γ in the source section “seferim-core · Learning Drive: Γ”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-2898aa07960f8ccasource-comment-equation
LearningDrive:Γ=χ×η×κLearning Drive: Γ = χ × η × κ

Read the equation

This relation defines Learning Drive: Γ in the source section “seferim-core · Learning Drive: Γ”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

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 Learning Drive: Γ 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

  • This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage
 * ║   Joseph @ ThatAIGuy                                                                                 ║
 * ║                                                                                                      ║
 * ╚══════════════════════════════════════════════════════════════════════════════════════════════════════╝
 *
 * MASTER EQUATION:
 * φ(a)_f,s(t⁺) = φ(a)_f,s(t) + (1 - φ(a)_f,s(t)) × Γ(a)(t) × π(eff)_f,s(i,t)
 *
 * Learning Drive:  Γ = χ × η × κ
 * Activation:      χ = σ(α_κ·κ + α_Ψ·Ψ̃ - θ)     ← Continuous sigmoid, NOT binary Fibonacci
 * Plasticity:      η = clamp(η_base + η_gain·κ, η_min, η_max)
 */

// ═══════════════════════════════════════════════════════════════════════════════
// CONFIGURATION CONSTANTS
// ═══════════════════════════════════════════════════════════════════════════════

const SEFERIM_CONFIG = {
    // Architecture
Exact original notation
Learning Drive:  Γ = χ × η × κ

Related builds

Sources & provenance

01
Janady13/Jennys-Drumste / seferim-core.js
Lines 23–23 · 1f946b9e18e5

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