For a fixed amount of non-implicational background knowledge, implication inference remains tractable.

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

• Active inference agents can learn epistemic habits in the absence of extrinsic rewards through ambiguity minimization.claim0.776
  §2, summarizing information-seeking behavior.
• Active inference treats exploration and exploitation as two different ways of tackling the same problem: minimizing uncertainty.claim0.772
  §2, comment on expected free energy decomposition.
• Active inference provides a principled account of epistemic exploration and intrinsic motivation as minimizing uncertainty.claim0.769
  §1, listing contributions.
• Active inference offers a degree of plausibility as a process theory of brain function.claim0.767
  Overall assessment from Discussion.
• Active inference dispenses with the Bellman optimality principle and replaces it with a (variational) principle of least action.claim0.766
  §2, expected free energy section.
• More inference compute amplifies both reflective capacity and safety gating; the contemplative prompt resolves gating by reframing self-referential probes.claim0.764
  Interpretation of Grok 4 vs Grok 4 Fast per-koan comparison
• Active inference can be framed as the minimisation of surprise by perception and action.claim0.763
  Concise characterisation from Section 2.
• Even limited functional introspective awareness has practical implications for transparency, interpretability, and deceptionclaim0.756
  Discussion of dual-use nature of introspection.