Surreptitious teaching of structure

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

• Structure Learningconcept0.784
  Updating the structure of the generative model to better account for observations via Bayesian model reduction and expansion.
• Efficient Inference in Structured Spaces (Sanders et al., 2020)concept0.738
  Paper with schematic showing TEM reusing cortical representations across environments; schematic adapted for Figure 2c.
• Structure in representationsconcept0.736
  The central question of whether representational geometry implies corresponding computational structure
• Perceptual Learningconcept0.735
  Process of inferring causes of sensory information; unified with value learning as integral aspects of free energy minimization.
• Order (general mathematical structure of space)concept0.731
  A most general system of mathematical structures arising from the nature of space, which has degrees of life.
• Experimental process of judging structure-preserving transformationsmethod0.730
  A method described in chapter 2 of Vol 2, used to evaluate whether a proposed action enhances or damages the existing wholeness.
• Structure in computationconcept0.726
  The actual computational operations a model performs, which the paper argues need not mirror representational structure
• Teaching through makingconcept0.723
  Pedagogical strategy: users first learn familiar tools (draw, spreadsheet) then discover underlying uniformity; enables progression to customization.