8.4 Agent Coherence (Equation 74) · C_ij

Read the equation

The source describes this relation in the following context: Items with importance near 1.0 get maximum weight.

8.4 Agent Coherence (Equation 74)

C_ij = (θ_i · θ_j) / (||θ_i|| × ||θ_j||)

Cosine similarity between agent knowledge vectors.

1. Gate5000 Binary Substrate

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 C_ij 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

Items with importance near 1.0 get maximum weight.

8.4 Agent Coherence (Equation 74)

C_ij = (θ_i · θ_j) / (||θ_i|| × ||θ_j||)

Cosine similarity between agent knowledge vectors.

9. Gate5000 Binary Substrate

C_ij = (θ_i · θ_j) / (||θ_i|| × ||θ_j||)