The embodied/disembodied distinction between robots and AI is collapsing.

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

• Lanillos et al. 2020: Robot Self/Other Distinction (ECAI 2020)concept0.775
  Prior model using active inference for self-other distinction in mirror setting; lacks motivation source
• Many recent discussions of AI, and its impact on individuals and on society, are importantly incomplete because they neglect Diverse Intelligence, synthetic morphology, and developmental biology.claim0.770
  Central thesis of the paper — the framing premise from which all other arguments follow
• The boundary between evolved and designed agents is becoming blurred through biorobotics and synthetic morphology.claim0.762
• Neither AIs nor humans should be considered autonomous and self-sufficient loops; AI is better understood as a companion for humans.claim0.759
  Normative stance on human–AI relationship.
• 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.claim0.754
  Directly challenges the use of confabulation as a wedge between AI and genuine cognition
• Robots capable of self-modeling can model their own body and unexpected damage using AI methods, with morphological and mental changes occurring in parallel.finding0.753
  Evidence for blurring of embodied robot / non-embodied AI distinction through self-modeling
• The proposed framework erases artificial distinctions between organisms and machines by framing all physical constructs as in-formed, to varying degrees, by patterns from the latent spaceclaim0.751
  Central thesis statement of the abstract.
• AI systems which possess more of the indicator properties are more likely to be conscious.claim0.750
  Graded claim about the rubric.