Read the equation
Computes cosine similarity between two agent knowledge vectors. It measures their directional alignment, with values from −1 to 1 when both vectors are nonzero.
Its role in the build
Computes cosine similarity between two agent knowledge vectors.
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 C_ij as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
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
Exact original notation
C_ij = (θ_i · θ_j) / (||θ_i|| × ||θ_j||)
Related builds
Sources & provenance
C_ij = (θ_i · θ_j) / (||θ_i|| × ||θ_j||)