Research claims registry#
This file separates what the repository implements from what has been scientifically demonstrated.
ID |
Claim |
Status |
Evidence required |
|---|---|---|---|
CLAIM-001 |
Quantum-like models can represent order-sensitive judgement. |
Supported as a modelling capability |
Mathematical validation and published-data fits. |
CLAIM-002 |
Quantum-like models outperform classical models for HRI prediction. |
Unverified |
Held-out human/HRI data and paired statistical comparison. |
CLAIM-003 |
Quantum-like uncertainty improves robot ask-vs-act decisions. |
Unverified |
Same held-out observations, calibrated probabilities, decision-cost analysis and uncertainty intervals. |
CLAIM-004 |
Quantum computing provides an advantage for robot decision-making. |
Not established |
Matched classical baseline, scaling, resource accounting, noise/hardware evidence and statistical uncertainty. |
CLAIM-005 |
Synthetic HRI experiments demonstrate human behaviour. |
False / prohibited claim |
Synthetic experiments are debugging and sensitivity evidence only. |
A result should only upgrade a claim’s status when its dataset provenance, comparison protocol, statistical analysis and reproducibility record are available.