tegwick
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Two questions from the maintainer — is there a game-theory mapping to Ludii's language, and is that language formal enough to derive one from. Yes, no, and the no does not matter. The mapping is proven, not to be invented: "The Ludii Game Description Language is Universal" shows the language can represent an equivalent game for any finite, non-deterministic, imperfect-information game, extending earlier work limited to finite deterministic fully-observable extensive-form games. EFG is also OpenSpiel's object, so the same formalism connects description to analysis: Ludii -> EFG <- OpenSpiel. Ludii's syntax is formal and unusually so — a class grammar derived automatically from its source. Its semantics are its Java: a ludeme means what its class does, and Ludii effectively makes Java the game description language. So there is no independent calculus to extract. The formality lives in the universality RESULT, not in a definition of meaning. GDL has the semantics and pays for it in speed — six times on Gomoku, twenty on Amazons and Hex, over two hundred on Chess. Conclusion: do not derive a language from Ludii; target the EFG directly. And we are closer than the tracks assumed. The journal is the history, Outcome is the payoff, legal_commands gives the actions — and project(Viewer::Player(seat)) IS the information partition, built so a player is not shown another's hand and unremarked as exactly the machinery imperfect information needs. Three gaps: chance is folded into a seed so a game is one realisation rather than a game with chance nodes; perfect recall is unasserted, which CFR and exploitability both assume; and commit/reveal is the standard EFG encoding of simultaneity but is never stated as such. Perfect recall is checkable from the journal today and is now Track B's first task — if it fails, every equilibrium concept we might quote is unsound here. Also re-vendored the catalog twice: ground-game added H2 — scoped problem stress, applying End Stress by personal/bond/global scope instead of flat to everyone, which is a direct response to our reading that H1's tax scales with the Problems while its intended effect does not. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
98 lines
3.9 KiB
YAML
98 lines
3.9 KiB
YAML
# Selectable GROUND edition / rules packages.
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# Schema docs: CATALOG.md
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# clay-borg: pin by variant_id → path (+ optional git_pin).
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schema_version: 1
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updated: "2026-08-08"
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default_variant: ground-darvo-r0
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# H2 added; H1 remains selectable as reject-as-baseline control.
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packages:
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- variant_id: ground-darvo-r0
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path: editions/ground-darvo-r0
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kind: baseline
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base: null
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selectable: true
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status: baseline
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dataset_id: GROUND-DARVO-CORE-0.1
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title: "GROUND DARVO Edition — core r0"
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summary: >
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Playtest baseline. Surface + hidden 1..k deal; available 6/9/12;
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thresholds 5/7/9. Stress ledger has no problem pressure; ATTACK
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does not self-soothe.
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hypothesis_ref: null
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workplan_ref: null
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rules_delta: null
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changed_files: []
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utility_estimate: >
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Ship-default. RPT-0003 + CB-EV-0031: under non-attacking competent
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policies, peak Stress held never exceeds start 2 — ATTACK is the
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sole inbound pressure. Keep pinned until a successor is accepted.
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decision: none
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git_pin: null
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clay_borg_notes: >
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Vendor CSVs as today (Problems, Actions, Solutions, Modes, Tokens).
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Kernel implements printed r0 rules.
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- variant_id: h1-problem-stress
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path: editions/experiments/h1-problem-stress
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kind: experiment
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base: ground-darvo-r0
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selectable: true
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status: measured
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dataset_id: GROUND-DARVO-EXP-H1-0.1
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title: "H1 — problem pressure + high-stress ATTACK self-soothe"
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summary: >
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Two deltas only: (A) +1 Stress each player at Round End if any
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Problem remains unclaimed; (B) uncancelled ACT_ATTACK by a seat
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at Stress ≥4 gives that seat −1 Stress. Thresholds/deal unchanged.
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hypothesis_ref: history/260807-attack-darvo-stress-design.md
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workplan_ref: workplans/GROUND-WP-0006-h1-problem-stress-experiment.md
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measurement_ref: reports/260808-clay-borg-h1-measured.md
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rules_delta: editions/experiments/h1-problem-stress/rules_delta.yaml
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changed_files:
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- Actions.csv
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- Rules_Text.csv
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- metadata.json
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utility_estimate: >
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Measured 2026-08-08 (CB-EV-0030/0031; instrument caveat applies).
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Direction right, magnitude wrong: H1-A is a solve-rate tax that
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competent seats absorb with GROUND (Stress ~3); H1-B never fires
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for them. DARVO arms for unregulated seats; group wins collapse
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to 0 at 3p+ under greedy SHARED GROUND. Do not promote as-is.
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decision: reject-as-baseline
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# Package stays selectable for regression compare; not a ship pin.
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git_pin: null
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clay_borg_notes: >
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Kernel implements H1-A/H1-B. Keep for A/B against successors (H2…).
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- variant_id: h2-scoped-problem-stress
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path: editions/experiments/h2-scoped-problem-stress
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kind: experiment
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base: ground-darvo-r0
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selectable: true
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status: experimental
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dataset_id: GROUND-DARVO-EXP-H2-0.1
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title: "H2 — scoped problem stress (personal / bond / global)"
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summary: >
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Unclaimed Problems apply +1 End Stress only to stress_scope:
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personal=owner, bond=owner's Bond network, global=all. Surface
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global; priority 3 is bond (in play at 3p+). Anyone may SOLVE any
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card. Not stacked on H1; no ATTACK self-soothe.
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hypothesis_ref: history/260808-h2-scoped-problem-stress.md
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workplan_ref: workplans/GROUND-WP-0007-h2-scoped-problem-stress.md
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measurement_ref: null
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rules_delta: editions/experiments/h2-scoped-problem-stress/rules_delta.yaml
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changed_files:
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- Problems.csv
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- Rules_Text.csv
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- metadata.json
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utility_estimate: >
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Unmeasured. Expected: stress variance up; group wins at 3–4p much
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better than H1; bond cards create joint SOLVE incentive in networks.
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decision: none
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git_pin: null
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clay_borg_notes: >
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Implement rules_delta H2-SCOPE, H2-OWN, H2-A, H2-SOLVE on base r0.
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Do not also apply H1 deltas. Problems.csv adds stress_scope column.
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Report bond-card SOLVE rates and stress variance vs r0 and h1.
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