finding
active
finding:robots-capable-of-self-modeling-can-model-their-own-body-and-unexpected-damage-using-ai-methods-with-morphological-and-mental-changes-occurring-in-parallelRobots capable of self-modeling can model their own body and unexpected damage using AI methods, with morphological and mental changes occurring in parallel.
Evidence for blurring of embodied robot / non-embodied AI distinction through self-modeling
Source paper
extracted_from(2021) · Joshua Bongard · Michael Levin
Neighborhood — ranked by edge-count
Claims (1)
claim
- Second central claim: life and machine form a continuous multidimensional space, not discrete bins
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Methodological proposal to integrate knowledge from contemplative and cognitive science into AI/artificial life frameworks.
- Bongard robot self-modeling: robot discovers its shape, then reuses information after damage.finding0.832Key Artificial Life experiment illustrating remapping of self-model (Bongard et al. 2006).
- Robots capable of building internal models of their own body and unexpected changes, blurring the embodied/non-embodied AI distinction
- Claim about methodology: ALife simulates mechanisms underlying self illusion.
- Prior work showing self-modeling can reduce model complexity and aid cooperation and safety
- Features for consciousness, emotions, entrapment activate when asked about itself.