Experiment purpose
A positive mutualist system should increase user capability. This requires measurement. The experiment asks: after using the system, can users perform a related task with less assistance than before?
Experimental design
| Phase | Activity |
|---|---|
| Baseline | User performs task without the candidate. |
| Assisted | User completes similar task with the candidate. |
| Reflection | User explains the reasoning in their own words. |
| Transfer | User performs a new related task with reduced help. |
| Retention | User repeats later after time delay. |
FUNCTION capability_transfer_experiment(user, skill, candidate)
baseline = test_without_ai(user, skill.task_a)
assisted = test_with_ai(user, candidate, skill.task_b)
explanation = score_user_explanation(user, skill.concepts)
transfer = test_with_reduced_ai(user, skill.task_c)
retention = schedule_later_test(user, skill.task_d)
RETURN compare(baseline, assisted, explanation, transfer, retention)
END FUNCTIONPositive result
A successful candidate becomes a scaffold. It helps the user climb, then proves the user can stand higher afterward.
Source reports used for this guide
These reports are preserved verbatim in the site archive. The guide above is an editorial synthesis and may narrow, qualify, or reorganize claims from the source material.
Human motivation and analogyHuman Drive: The Intrinsic Motivation to Survive and Improve — Uploaded EditionMixed maturity · 21.6 KB
Positive mutualism and governanceMutualist Persistence — Uploaded EditionGovernance synthesis · 15.7 KB
Human motivation and analogyThe Evolutionary and Cultural Calculus of Human Evaluation — Uploaded EditionMixed maturity · 72.4 KB