1.2 KiB
1.2 KiB
AMR Decision Substrate Demo
This demo is robotics-adjacent, not a robotics stack.
It uses simulated abstract situation records to show CORE as a decision and accountability substrate around a bounded AMR-style proceed / stop / refuse choice. The inputs are not camera, LiDAR, odometry, SLAM, localization, motor, or fleet-control data.
What is real CORE here:
ChatRuntimeCognitiveTurnPipeline.run(...)- recognition-side typed refusal propagation
CognitiveTurnResult.trace_hash- CORE Trace Protocol canonical JSONL events
verify_chain(...)replay validation
What is simulated:
- the AMR situation record
- the tiny policy reducer that maps already-abstracted facts to
PROCEED,STOP, orREFUSE
The demo refuses under-determined input instead of guessing. It also runs the same scenarios twice through fresh runtime instances and asserts byte-identical trace JSONL.
Run from the repository root:
UV_PROJECT_ENVIRONMENT=/tmp/core-amr-decision-uv uv run python demos/amr_decision_substrate/run_demo.py
Artifacts are written to:
demos/amr_decision_substrate/out/
The important artifact is summary.json; trace_a.jsonl and trace_b.jsonl
are the two replay runs that must match byte-for-byte.