clay-borg/simulators/browne-criteria.md
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simulators/: persist the survey, and let it shrink two of the three tracks
Eight profiles on a common schema, each marking what was checked against a
source this session and what is background recollection. Three are marked
unverified in full — Machinations, the play substrates, most of RBG — and
say so rather than reading as evaluations. Written straight after three
review rounds whose entire yield was claims outrunning what had been
checked, so the confidence rule is the first thing in the README.

The survey changed the plan, which is what a survey is for.

Track C was described in Positioning as open ground. It is not: Browne
published 57 criteria for game quality, and Ai Ai already computes
designer-facing measures — drama, lead changes, branching factor,
completion, duration — from played games. The track becomes adopt, credit
and find the gap. The gap looks real: those measures presume a leader, and
SHARED GROUND has none — Modes.csv gives its tiebreak as "Not applicable".

Track B probably adopts rather than builds. OpenSpiel implements CFR,
best-response and exploitability over games that are simultaneous-move,
imperfect-information and co-operative, which is all four of GROUND's
awkward properties. "Does ATTACK ever pay" is a best-response question,
and we spent three review rounds refining a two-policy sweep for it. The
first Track B task is now one question — is exploitability meaningful for
a co-operative game with a shared threshold — not a build.

The cost of not surveying earlier is therefore measurable, and is recorded
rather than glossed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-08 11:56:27 +02:00

2.9 KiB

Browne's game-quality criteria

Cameron Browne · not a simulator — a measurement vocabulary · checked that it exists and its size; the list itself unverified

What it optimises for

Answering "is this game any good" numerically, from played games, so that generated or modified games can be ranked without a human playing every one.

Browne presented 57 criteria for measuring the quality of a game. checked

How a game is defined

Not applicable — the criteria are computed over played games, whatever produced them.

What it can analyse

The families that recur in work building on it: checked

family examples
turn metrics branching factor, drama, killer moves, lead changes
endgame metrics completion, duration, advantage

Lead change is close to drama: never changing leader is tedious, too much is chaotic. checked That framing — a good value is an interval, not a maximum — is the transferable idea.

What it does not do

Nothing about cooperative games, hidden roles, or games with no individual leader — at least, nothing we have confirmed. open, and it is the question that decides how much of this is usable for GROUND.

Relevance to clay-borg

Track C is not open ground, and this is the evidence. Positioning.md §4 proposed "assimilate knowledge about why games work" as though it were unclaimed. There is a twenty-year literature with a canonical criterion set, and Ai Ai computes members of it.

This is a good finding, not a bad one. It moves Track C from invent a theory of fun to adopt an existing vocabulary, credit it, and locate the gap — and the gap is plausibly real: co-operative and hidden-role games.

What to steal

  • The criteria as a vocabulary for what our panels already half-measure.
  • The interval framing: our register would be improved by targets that are ranges rather than "0" and "100%".

What to avoid

Importing a metric whose subject does not exist here. Lead change presumes a leader; SHARED GROUND has none, and Modes.csv says its tiebreak is "Not applicable". Computing lead change there would produce a number about nothing — ../specs/Taxonomy.md §2.2.

Open questions

  • The 57 criteria themselves, and which are defined for n-player co-operative play.
  • Whether anyone has extended them to social-dilemma games.
  • The primary source (Browne's thesis / Evolutionary Game Design) — not read, and it should be before Track C opens.

Sources