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MELEE A/B: BitBrain vs shipped Pattern rack — repo's first melee measurement (null)

Browse Source 
Adds common_libs/tests/measure_melee_bitbrain_ab.nim (+ .sh driver, .py analyzer,
committed per-run fixtures) and docs/melee_bitbrain_ab.md.

Experiment: 4-bot Free-For-All (ModularBot + WaveSurfer + PatternMover +
RandomMover), 4 arms x 16 runs x 7 rounds, frozen ModularBot from git archive
HEAD (commit 0f5cfe3, binary 11bba27), shipped tfil movement in every run.
Arms differ only in the gun rack: pattern (shipped), bb_round, bb_ret, bb_learn.

Result: NOT DETECTABLE. Score (server round score = damage + survival bonus)
differs by -63..+33 pts (perm p=0.16-0.71) against an MDE of 151 (~5.1%).
Every arm finishes rank 1. Round wins hint BitBrain's way (112/112 and 111/112
vs 109/112) but p=0.225 (MW 0.080), half the 0.40-win MDE.

Liveness proven: rack boot lines flip (rack active melee = PATTERN / BITBRAIN),
every run faced 3 distinct targets and ~66-69 target changes, and the bb arms
logged one [bb-reset] reason=target_change per switch. The melee premise was
exercised; the fast adaptation bought no measurable score edge at this sample.
This commit is contained in:
Davide Cappellini
2026-09-26 00:35:44 +02:00
parent 02b691dd5f
commit da4a971ca9
70 changed files with 1743 additions and 0 deletions
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common_libs/tests/fixtures/melee_bitbrain_ab/bb_learn/run1.json
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common_libs/tests/fixtures/melee_bitbrain_ab/bb_learn/run10.json
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common_libs/tests/fixtures/melee_bitbrain_ab/bb_learn/run11.json
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