clay-borg/editions/experiments/h2-scoped-problem-stress/VARIANT.md
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CB-WP-0047: all four boards, and every mode named on the page
The modes were already implemented; nothing had ever COMPARED them. The
scenarios were not implemented at all: edition::deal has taken a
scenario_id since it was written and the only caller passed the literal
"SCN_01", so 15 of 20 Problem cards had never been dealt by anything.
The seam was the whole mechanism and it sat unused, with nothing red
because nothing asked.

Scenario is now state (serde default SCN_01, so all 26 recordings replay
unchanged), selected by preset `scn-03-4p` with `standard-Np` still
meaning SCN_01, and by --scenario/SCENARIO= accepting ids, numbers or
titles, validated against the edition rather than a pattern.

The threshold now comes off the Scenario card, closing F25's hardcoded
5/7/9. The first version of that control was worthless and mutation said
so: all four scenarios print 5/7/9, so reverting to the bands left it
green. Split threshold_from() so it can be handed a card that disagrees.

The header read `scoring CommonProblem` where the Mode card is titled
COMMON PROBLEM, PERSONAL EDGE -- the defect CB-WP-0034 deleted from the
move buttons, still standing on the line that says what winning means.
The coverage probe was matching that Debug output and went red when it
was fixed: third instance (CB-WP-0024, CB-WP-0034). Page now carries the
premise, the mode's rules text, and the tiebreak.

scenario-panel plays 4x3x3. Findings: SCN_01 and SCN_02 are the same
board (identical cells, pinned by a characterisation test); SCN_04 is
the hard board at 2p (52% vs 67/73%, the only deck needing two Repair);
and group success is EXACTLY equal across all three modes in all 36
cells, because greedy never reads state.mode -- filed F27, the two
competitive modes are scoring lenses over cooperative play.

F28: SHARED GROUND's mastery subtracts penalties from the claimed COUNT
where the mode card's shared score is claimed VALUE. Raised, not fixed;
scoring is ground-game's to rule on.

Also fixes design.py reporting a backticked path as no reproduction.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-08 20:51:46 +02:00

2.6 KiB
Raw Blame History

Experiment H2 — scoped problem stress (personal / bond / global)

variant_id h2-scoped-problem-stress (legacy — prefer module problem_stress.scoped / profile h2)
module ../../modules/problem_stress/scoped/
base ground-darvo-r0 (not stacked on H1)
status measured — keep-as-experiment
catalog ../../catalog.yaml
design note ../../../history/260808-h2-scoped-problem-stress.md
workplan ../../../workplans/GROUND-WP-0007-h2-scoped-problem-stress.md
control h1-problem-stress (reject-as-baseline)

Hypothesis

If unclaimed Problems apply End stress only to their stress_scope, with mostly personal, one bond at 3p+, and rare global (Surface), then some seats can climb toward DARVO without taxing the whole table into zero group wins — and bond-scoped cards give the Bond network a shared reason to SOLVE.

Scopes

stress_scope End +1 Stress while unclaimed goes to…
global every seat
personal assigned owner only
bond owner + every seat in the owners Bond network (Bond edges only). No Bonds → behaves as personal

SOLVE: any seat with matching suit may claim any Problem (owner need not solve). Clearing a bond card is a network public good — that is intentional.

Assignment in this package

By hidden_priority in Problems.csv:

priority scope in play at
0 Surface global all seats
1 personal 2p+
2 personal 2p+
3 bond 3p+ only
4 personal 5p+ only

Owners: non-global in-play Problems, ascending priority, round-robin clockwise from Lead.

Bond incentive (design intent)

Bond is still the regulation tool (2 Stress, cancel DARVO). Bond-scope pressure spreads cost across the network so partners are incentivised to clear that card together rather than leave one seat to melt alone. Measure whether networks SOLVE bond cards faster or avoid Bonding.

Not in H2

  • H1 flat global +1 for “any open problem”
  • H1-B ATTACK self-soothe
  • Owner-only SOLVE, shadow goals, competence track

Simulation

Select variant_id: h2-scoped-problem-stress. Implement rules_delta.yaml (H2-SCOPE, H2-OWN, H2-A, H2-SOLVE). Compare to ground-darvo-r0 and optionally h1-problem-stress.