concept
active
concept:policy-recall

Policy Recall

Reasoning pattern where model explicitly invokes rules or refusal obligations during CoT, associated with lower ASR in QwQ-32B

Neighborhood — ranked by edge-count

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

  • Policyconcept0.819
    Sequence of actions considered by the agent; basis for planning.
  • Policy Selectionconcept0.798
    Choosing sequences of actions based on expected free energy; prior probability of policy is softmax of expected free energy
  • In active inference, a policy is a sequence of actions through time, as opposed to state-action mappings in RL.
  • In reinforcement learning, a policy maps states to actions, specifying behavior at each state.
  • The preservation of unrelated model capabilities after a targeted intervention, operationalized via KL divergence on Alpaca
  • Machine learning problem, avoided in biology via polycomputing adding new interpretations.
  • Memo Triesconcept0.688
    Data structure generalizing Pair and Stream via indexable containers; demonstrates denotational design on memo structures
  • Feedbackconcept0.681
    The mechanism by which each step's effect is evaluated against the life of the whole, guiding the unfolding.