method
active
method:self-modeling-robotsSelf-Modeling Robots
Robots capable of building internal models of their own body and unexpected changes, blurring the embodied/non-embodied AI distinction
Neighborhood — ranked by edge-count
Concepts (1)
concept
- Embodied AIextendsEmerging approach to run deep learning algorithms on autonomous robots and evolve robot bodies directly.
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.
- Ability of a model to predict its own outputs or behavior, sometimes distinguished from introspection.
- The transformer's model of itself as a predictive text engine, developed through in-context learning.
- Evidence for blurring of embodied robot / non-embodied AI distinction through self-modeling
- Metzinger's concept of the self as a sustained representation; distinguished from consciousness itself in CIMC's framework
- Related technique improving multi-agent learning by predicting others' actions using an agent's own policy