DD-011 v3

Threshold and dynamic experiment extension

Eight synthetic treatments separate threshold portfolios, history visibility, and fixed-versus-stopping action horizons. Six appended hypotheses are model-derived design inputs, not behavioral findings.

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Threshold and dynamic treatment cells
CellThresholdPortfolio ruleHistoryHorizon
T29-threshold-paired-plannertwopaired_plannernot_dynamicone_shot
T30-threshold-common-modetwocommon_modenot_dynamicone_shot
T31-threshold-private-followingtwoprivate_followingnot_dynamicone_shot
T32-threshold-team-tokenstwoteam_tokensnot_dynamicone_shot
T33-dynamic-bayes-hidden-fixednonenonehiddenfixed_budget
T34-dynamic-bayes-visible-fixednonenonevisiblefixed_budget
T35-dynamic-planner-hidden-fixednonedynamic_plannerhiddenfixed_budget
T36-dynamic-planner-hidden-stoppingnonedynamic_plannerhiddenstopping

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Program V4 synthetic hypotheses
IDQuestionOutcomeMultiplicity family
H15Does paired threshold allocation improve discovery over common-mode crowding?discoverythreshold
H16Do team-token recommendations improve threshold portfolio efficiency over common mode?threshold_portfolio_efficiencythreshold
H17Does private following increase viable-team count over common mode?viable_team_countthreshold
H18Does hidden history preserve discovery relative to visible action history?discoverydynamic
H19Does the registered stopping policy save actions relative to a fixed planner horizon?action_savingsdynamic
H20Does hidden-history planner allocation improve discovery over hidden-history Bayes behavior?discoverydynamic

Download v3 design · Download all retained calibration failures