Generative models are entailed by adaptive behavior, not explicitly encoded in brain states

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

• Generative models function as control systems that guide adaptive action policy selectionclaim0.831
  Core claim: generative models regulate organism behavior to maintain phenotypic bounds, not represent external world
• Generative models are not structural representations; recognition densities areclaim0.824
  Direct refutation of structural representationalist interpretation; recognition density encodes information, not generative model
• What is the generative model that best explains observable data from a behaving agent?question0.811
  Central challenge for active inference stated in Discussion.
• How do biological organisms evolve their generative model to account for new sensory observations?question0.804
  Structure learning challenge in Discussion.
• Generative Model Fitting to AI Behaviormethod0.796
  Proposed future method: fit active inference generative models to AI behavior to verify wise world model internalization
• Predictive sequence models in the generative modality are simulators of a learned distribution.claim0.794
  Naming of generative sequence models as simulators.
• Any system that persists must minimise surprisal, thereby gathering evidence for its own generative model.quote0.788
  Opening sentence defining self-evidencing.
• "The model is based on generative communication. If two processes need to communicate, they don't exchange messages or share a variable; instead, the data producing process generates a new data object (called a tuple) and sets it adrift in a region called tuple space."concept0.787