Functional valence is used for dimensionality reduction when multiple parallel processing paths interfere.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• valence as dimensionality reductionconcept0.837
  The specific claim that interference between parallel paths uses valence to reduce dimensionality.
• functional valenceconcept0.778
  Valence as a functional property, proposed to act as dimensionality reduction when parallel processing paths interfere.
• Emotional valence identified with the negative rate of change of free energy, a signed quantity in which decreasing free energy yields positive valencefinding0.774
  Antecedent proposal within the FEP framework that shares the signed-error identification with the present thesis
• PCA is the appropriate dimensionality reduction technique for constructing the RN because it preserves global structure and provides deterministic, interpretable projections.claim0.753
  Justifies PCA choice over UMAP or t-SNE for the node-structured RN model.
• Valence, the positive or negative quality of experience, just is goal-relative prediction errorclaim0.752
  Core identity claim distinguishing this account from mere correlation views
• Biology employs a multiscale competency architecture where each level solves problems with some degree of competency in its own problem space.claim0.740
  General structural claim about organization of life.
• All neuronal processing and action selection minimize variational free energy, unifying perception, action, and learning.claim0.738
  Fundamental assertion: single imperative (free energy minimization) explains diverse cognitive and neural phenomena.
• Parallel sub-tasks within skills and across skill families should produce parallel outputs for legibility.claim0.732