Datasets:
image image |
|---|
IBB: Intention–Body–Behavior as a Loop for Embodied Intelligence
Most stacks still treat cognition as something completed before the body executes. IBB (Intention–Body–Behavior) models intelligence as a non-divisible loop:
- Intention orients — task entry, purpose, what would count as success.
- Body bears — limitation, capability, physics, vulnerability.
- Behavior exposes the system to the world and returns consequence as write-back.
- Write-back reshapes the next cycle of intention.
A world model that cannot enter this loop remains a map without habitation. VLA / JEPA / generative world-model stages are useful when they move knowing toward action; they are incomplete if they stop at “knowing governing action” without action regenerating knowing under friction.
Why benchmarks understate the problem. Task success in simulation or on a tidy score can hide failure modes that rehabilitation makes undeniable: unexpected resistance, incomplete transfer, and the difference between displaying motion and regenerating capability. Friction is not optional in a lived world.
Light mapping (not a product sheet). Human body modeling, large movement models, BCI, digital twins, and immersive training fields (e.g. CAREN-class environments) matter insofar as they make the loop observable, trainable, and updatable—not as isolated gadgets.
Open questions for critique
- What interfaces break first if “lived world” is the acceptance test instead of task score?
- Where does your stack still treat the body as an executor rather than a generative field?
- What would you delete from IBB—and what would you add?
Diagram
Soft links (secondary): samples https://huggingface.co/spaces/AIxHAI/aixhai-oneness-intelligence-samples · related essay on LW https://www.lesswrong.com/posts/5XpGaxprSRqyLDm8A/what-separates-artificial-cognition-from-human-authentic · proving-ground note https://aixhai.substack.com/p/rehabilitation-as-a-proving-ground
AIxHAI Lab · soft companion to free samples: Oneness Intelligence Samples
- Downloads last month
- 44