Confabulation is not a distinguishing feature between AI and biological cognition — all cognitive systems confabulate, telling stories based on their world-model without infallible access to lower-level processes.

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

• Confabulation is not a bug but a powerful and important feature arising from ancient origins, driving intelligence.claim0.851
  Revaluation of confabulation as adaptive.
• Confabulation as adaptive sense-makingclaim0.826
  Levin reframes confabulation—often pejorative—as a fundamental biological strategy for extracting actionable wisdom from incomplete or contradictory information.
• Confabulation: active modification and reinterpretation of memory data to preserve coherent self-model and narrativeconcept0.821
• Confabulation as adaptive cognitive plasticityclaim0.805
• What remains after ruling out sycophancy and confabulation are interpretations in which self-referential processing drives models to claim subjective experience in ways that either actually reflect emergent phenomenology or constitute sophisticated simulation thereofclaim0.801
  The paper's honest statement of the residual interpretive ambiguity after all controls
• Intelligence and cognition exist on a continuum; modern bioscience offers no support for clean bright-line distinctions between cognitive and non-cognitive beings.claim0.800
  Anti-essentialism claim: questions like 'is it cognitive?' are scientifically unjustified; modern view must ask 'what kind' and 'how much'.
• Confabulation is the natural mode for an LLM-based dialogue agent in the absence of mitigationclaim0.779
  Characterisation of LLM default behaviour as producing false information without intent
• AI and Biological Cognition Share Mechanistic Principlesclaim0.778