r vs. K selection

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

• Kin selectionframework0.720
• RL algorithmsconcept0.715
  The different reinforcement learning algorithms used across conditions, to ensure the alignment result is not algorithm-specific.
• Action Selectionconcept0.706
  Choice of policies minimizing expected free energy to realize preferred future states.
• Selectivitymethod0.706
  Adapted control task metric measuring difference between odds-ratio on original task and arbitrary-label control task
• Selection (Darwinian)concept0.685
  The stage in the genetic algorithm where top 10% embryos by phenotypic fitness are selected.
• model selectionconcept0.684
  Comparing models using log-evidence approximated by free energy.
• K valuesconcept0.683
  In attention, key vectors that advertise 'where in the future should look here?'
• Prior Preferences over Outcomesconcept0.682
  Replaces explicit reward signal in active inference; encodes agent's preferred observations independent of environment.