Error minimization

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

• Ambiguity Minimizationconcept0.841
  The drive to reduce expected ambiguity about outcomes given states, leading to seeking well-lit, informative environments.
• Surprise Minimizationconcept0.818
  Core principle: acting to maximize value is equivalent to minimizing surprise by sampling environment to conform to expectations.
• surprisal minimizationconcept0.804
  The principle that agents must minimise prediction error (surprisal) to persist.
• surprisal minimisationconcept0.765
  The core imperative under the Free Energy Principle; systems must reduce the difference between predicted and actual sensory states.
• Expected Free Energy Minimizationmethod0.763
  Minimizing expected free energy for planning, decision-making, and action selection.
• Variational Free Energy Minimizationmethod0.758
  Minimizing variational free energy for perceptual inference and learning of model parameters.
• Surprise Minimization Frameworkframework0.756
• mistakes of adaptationconcept0.743
  Geometrical or functional failures where a decision does not fit harmoniously with the whole; each decision point in a fabricated object is likely a mistake.