Surprise (Surprisal)

Negative log probability of an outcome under the generative model; minimized in active inference.

Neighborhood — ranked by edge-count

concept

Surprise
related_to
The negative log probability of sensory samples; minimized by free energy.
free energy
associated_with
Thermodynamic potential ΔF = ΔE − TΔS; domain walls form if ΔF < 0

cosine ≥ 0.65 · no typed edge

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

Surprise Minimizationconcept0.799
Core principle: acting to maximize value is equivalent to minimizing surprise by sampling environment to conform to expectations.
Surprise Minimization Frameworkframework0.770
Bayesian Surpriseconcept0.769
KL divergence between prior and posterior beliefs; used in visual salience.
surprisal minimisationconcept0.761
The core imperative under the Free Energy Principle; systems must reduce the difference between predicted and actual sensory states.
surprisal minimizationconcept0.735
The principle that agents must minimise prediction error (surprisal) to persist.
aversive stimuli as surprisingconcept0.729
Aversive stimuli are defined as surprising, linking punishment to prediction failure.
unpredictability of end-resultconcept0.709
The principle that a truly adaptive process cannot have a predetermined end-state; adaptation means changes cannot be foreseen.
anticipationconcept0.707
Reorienting in expectation of reinforcements; a cognitive quality in plants.