Categorical Distribution

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

• Preferred Distributionconcept0.772
  In active inference, the distribution over goal states; here replaced by the learned self-prior rather than a hand-specified prior
• Natural Distribution of Representationsconcept0.772
  The distribution of latent representations produced by the model under unperturbed inputs
• Categorical VAEmethod0.763
  Used as the observation encoder/decoder for compressing visual and proprioceptive inputs into discrete latent states
• Dirichlet Distributionconcept0.745
  Conjugate prior for categorical variables; used for beliefs about likelihood matrix A.
• Category Theoryconcept0.738
  Fundamental mathematical tool; poset-as-category provides simple instances of categorical notions like products and adjunctions.
• Distribution-Level Promptconcept0.734
  A prompt framing requesting a representative sample from a distribution rather than a single instance, which is the key insight behind VS
• probabilityconcept0.731
  Measure of expected sensory input, core to linking value and surprise.
• Generalizationconcept0.727
  Ability to apply learned solutions to novel circumstances.