Read the equation
Uses a partial derivative of the layer loss with respect to an environment aspect as a sensitivity message. The derivative describes local effect on the objective; it does not itself specify a physical action.
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
Read m_{ℓ→a} as the quantity being defined or updated by this relation.
Uses a derivative or gradient to describe a rate of change or a direction of variation.
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
▼
ENVIRONMENT ASPECTS: E^(1) E^(2) ... E^(K)
Shared context per aspect C^(1) C^(2) ... C^(K)
messages in both directions ↑ ↓ ↑ ↓ ↑ ↓
▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼
7 LAYER–NEURONS N_ℓ (MACRO NEURONS)
N1 (Physical): L_1* = Σ_a λ_{1a} L_{1,a}*(S_1',D_1'; E^(a))
N2 (Link): L_2* = Σ_a λ_{2a} L_{2,a}*(S_2',D_2'; E^(a))
N3 (Network): L_3* = Σ_a λ_{3a} L_{3,a}*(S_3',D_3'; E^(a))
N4 (Transport): L_4* = Σ_a λ_{4a} L_{4,a}*(S_4',D_4'; E^(a))
N5 (Session): L_5* = Σ_a λ_{5a} L_{5,a}*(S_5',D_5'; E^(a))
N6 (Presentation):L_6* = Σ_a λ_{6a} L_{6,a}*(S_6',D_6'; E^(a))
N7 (Application): L_7* = Σ_a λ_{7a} L_{7,a}*(S_7',D_7'; E^(a))
messages: m_{ℓ→a} = ∂L_ℓ*/∂E^(a) (layer ℓ → aspect a)
Conversations:
• Horizontally: each aspect collects opinions from all layers via m_{\ell \to a}.
• Vertically: each layer sees all aspects E^{(a)}, weighted by \lambda_{\ell a}.
• Epona adjusts the λ’s and any policies on F_a, G_a.
⸻Exact original notation
m_{ℓ→a} = ∂L_ℓ*/∂E^(a) (layer ℓ → aspect a)Related builds
Sources & provenance
m_{ℓ→a} = ∂L_ℓ*/∂E^(a) (layer ℓ → aspect a)