| name | ccd-cognitive |
| description | Scalar active inference on case diagrams — beliefs, variational free energy, belief updates, prediction error, EFE, N400/P600 proxies. Use for §7; use src.daif for distributional returns and full ERP pipeline (§7c). |
src/cognitive/
When to use
- Scalar (single-distribution) FEP quantities: KL / variational FE, Bayesian belief updates, precision-weighted PE, expected free energy, simple ERP amplitude proxies.
- Not for full return distributions, quantile TD, or Bethe/VMP blocks — those live in
daif/.
Primary imports
from src.cognitive import (
CaseDiagramBelief,
kl_divergence, variational_free_energy,
update_belief, sequential_belief_update,
prediction_error, p600_amplitude_ratio,
expected_free_energy,
magnitude_reanalysis_cost, n400_amplitude_proxy,
)
Manuscript
§7, §7b (scalar process theory and verification narrative).
See also