Which model do I need?#
Start from your problem, follow the arrows, and open the tutorial or atlas entry at the end.
flowchart TD
accTitle: Choosing a model
accDescr: A decision tree from the user's problem to the matching module and tutorial in Quantum Mind.
S{"What is your problem?"}:::op
S -->|"people's answers or judgements<br/>look inconsistent"| J{"What kind?"}:::op
J -->|"answers depend on question order"| OE["order effects<br/>tutorial 2"]:::out
J -->|"inference with hidden causes"| IF["quantum-like Bayesian network<br/>atlas: quantum-like"]:::out
S -->|"a robot works with a person"| R{"What decision?"}:::op
R -->|"ask or act now"| AA["ask_or_act · risk-aware<br/>tutorial 4"]:::out
R -->|"which question to ask"| QP["QuestionPlanner<br/>tutorial 7"]:::out
R -->|"hand an object over"| HO["TrustAwareHandover<br/>tutorial 3"]:::out
R -->|"whole loop on a robot"| E2E["end-to-end + ROS 2<br/>tutorials 12, 13"]:::out
S -->|"perception outputs"| P{"What do you need?"}:::op
P -->|"trustworthy confidence"| CA["calibration · conformal<br/>tutorial 5"]:::out
P -->|"combine camera, speech, gaze"| FU["fusion<br/>tutorial 8"]:::out
P -->|"pick between modules"| OR["orchestration gate<br/>tutorial 6"]:::out
S -->|"a stream of sensor frames<br/>whose meaning depends on context"| B{"What do you need?"}:::op
B -->|"belief about intent"| CB["COBRA belief filter<br/>tutorial 10"]:::out
B -->|"hand over, wait or ask"| MC["min_cost_action<br/>tutorial 10"]:::out
S -->|"train against simulated people"| EN["Gymnasium environments<br/>atlas: environments"]:::out
S -->|"could a quantum computer help a robot team?"| QC["robot QUBOs · classical baselines · QAOA<br/>tutorial 15"]:::out
S -->|"would a quantum sensor help a robot navigate?"| QS["quantum limits · sensor fusion<br/>tutorial 16"]:::out
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The same choices as a table:
Problem |
Module |
Classical baseline to report |
Tutorial |
|---|---|---|---|
Answers depend on question order |
|
Bayes, anchoring |
|
Inference with hidden causes |
|
classical Bayesian network |
atlas: quantum-like |
Trust that changes when asked |
|
|
|
Act now or ask |
|
expected-cost rule without model uncertainty |
|
Over-confident detector |
|
raw scores |
|
Choose between perception modules |
|
gate without a prior |
|
Which question to ask |
|
|
|
Fuse camera, speech and gaze |
|
Bayes, Dempster-Shafer |
|
Dwell times of ambiguous stimuli |
|
Markov, gamma renewal |
|
Belief about intent from sensor frames whose meaning depends on context |
|
|
|
Robot allocation, grasp or schedule problems on a quantum computer |
|
greedy descent, simulated annealing, random sampling with the same shots |
|
Quantum accelerometer for dead reckoning |
|
MEMS accelerometer alone |
|
Train against simulated people |
|
any agent you bring; compare with a person-blind policy |
atlas: environments |
Whole robot loop |
all of the above |
||
Assign tasks among people working with a robot |
|
trust-blind allocation, brute force |
atlas: infrastructure |