Commit Graph

5 Commits

Author SHA1 Message Date
SirStone 89370008da fix(tsetlin): make the TM actually learn - saturation 714 -> 13.8 literals/clause
The gun has never contributed anything: Tsetlin.vHits was byte-for-byte
equal to Linear.vHits in every measured round of every run, because its
learned correction was always exactly 0.

Six diagnosed defects fixed, plus one that was required to make the first
one work:

1. Type I now conditions on the clause output. It previously rewarded
   included true literals unconditionally, omitting Granmo's (c=0, lk=1)
   -> toward Exclude counter-force, so true literals ratcheted toward
   Include forever. This was the root cause of the saturation.
2. Type II was unreachable dead code: its guard required cOut==1 AND
   lits[lit]==0 AND st>0 (included), but cOut==1 guarantees every included
   literal is 1. Its direction was wrong too - it should increment EXCLUDED
   false literals when the clause fires.
3. Resource allocation restored: Granmo's (T - clip(v,-T,T))/(2T) target
   replaces |error|/(2*RESID_MAX); TM_T was only an output normaliser.
4. Label baseline fixed - the factor-2 shrink. predX = linearX + cx, so the
   label was delta - cx while the learner's output IS cx, giving
   error = delta - 2cx and a fixed point of cx = delta/2: HALF the needed
   correction even with perfect feedback. TmTrace now stores linearX/linearY
   and training uses delta.
5. Hits no longer zero their label (a hit means |miss| < 18px, not 0).
6. The enemy-energy feature was duplicated - tmEncodeFrame passed
   state.selfEnergy with a stale comment claiming enemyEnergy was absent,
   while WorldState.enemyEnergy exists. Enemy-energy rules were literally
   unrepresentable.
7. REQUIRED EXTRA: tmEvalClause now implements Granmo Eq. 6 - an all-Exclude
   clause outputs 1 during learning and 0 during classification. Without it,
   fix #1 deadlocks every clause at empty.

MEASURED EFFECT (energy-threshold-turner fixture, seed 1):
  mean included literals per active clause   714.0 -> 13.8
  active clauses                             100/100 -> 53/100
  nonzero corrections                        8/764 -> 708/764
  Tsetlin virtual hits (Linear = 27/400)     27/400 -> 69/400

Divergence achieved: offline on 7/8 fixtures, and in a live gauntlet
(RandomMover: Tsetlin 199/1200 vs Linear 288/1200, vDropped=vStarved=0).
Tsetlin now LEARNS but is not yet competitive with Linear - the regression
head is untuned, flagged as follow-up rather than claimed as a win.

Also ignores compiled test harnesses that have no file extension, which the
existing '**/tests/test_*' rule misses.
2026-09-20 23:59:32 +02:00
SirStone e53690036b fix(guns): speed-sensitive caches, dead stop-shot branch, exact TM trace pairing
Four guns cached a whole prediction per tick while predict() is called once
per power bin, so every bin after the first (and the real fired shot, which
shares lastState) reused the power-1.0 lead. Fixed by caching only the
speed-INDEPENDENT derived state and recomputing the lead per requested speed:
- stop_shot: also fixes prevSpeed being written before it was read, which
  made abs(speed) < abs(prev) permanently false and the entire
  stop-prediction branch unreachable (it was just Linear).
- displacement: the cache key included bulletSpeed, so the guard missed on
  all four bins and the 15-tick window advanced ~4x/tick, making the
  inferred velocity ~4x too small.
- averaged_lead: tick cache removed outright. pattern_matcher: split into
  speed-independent match+path and per-call lead.

FeedbackEvent gains fireTick/powerBin (additive; only virtual_bullets
constructs one) so guns can pair feedback to the exact shot instead of
guessing by coordinates. tsetlin uses it: traces are now keyed exactly by
(fireTick, powerBin) with a 1024-slot ring, and the 10-frame window shifts
at most once per tick (it was shifting ~4-5x/tick, so isWarmedUp tripped
after ~2 ticks).

KNOWN INCOMPLETE: tsetlin still does not diverge from Linear in battle. The
two named bugs are fixed (a 600-tick sim shows trainedShots=2141,
traceMisses=0, and a fixed-input probe converges to a 9.6px correction), but
the TM's clause feedback itself is broken: ~131 of 1740 literals end up
included per clause, so its conjunction never fires. Sweeping TM_S,
TM_N_CLAUSES and a two-branch Type-I update did not change the correction
from 0. Needs a real TM fix or removal, not another bug fix.

First-ever guard tests for the gun selector: common_libs/tests/
test_gun_harness.nim (14 checks, headless, no Java). There were none before,
which is how six broken guns survived a full analysis cycle. Against the
previous HEAD, 5 of these checks FAIL - that is the regression guard.
2026-09-20 22:47:26 +02:00
SirStone 2cc2a3bd87 fix(ModularBot): ram loop prevention, dead-target guards, cleaner logging
- 30-tick cooldown after ghost-stuck/timeout ram exit prevents re-entry loop
- enemy_tracker.update() skips dead bots to prevent same-tick scan resurrection
- TFIL graphics cleared when ramming is active movement
- [config] logs: white base with green-highlighted changes only
- [ram:enter] logs trigger reason and key values on false→true transition
- [death] and [target-invalid] logs retained for diagnostics
2026-09-20 20:44:45 +02:00
SirStone 1ed7797cb6 feat(ModularBot): 6 guns, pattern matcher, melee modules, adversarial bots
- New guns: guess-factor (GF histogram), pattern-matcher (movement tape replay)
- New modules: minimum-risk melee movement, spinning melee radar
- New test bots: PatternMover, RandomMover, WaveSurfer
- Fixed: FeedbackEvent now carries actualX/actualY for proper GF learning
- Fixed: TM gun warmup gating + directional residuals
- Fixed: circular gun integrated formula + multi-bin omega cache
- Fixed: oscillator wall-bounce lockout
- Fixed: phantom meteor perpendicular body orientation
- 6/6 battle wins across all enemy types
2026-09-20 00:59:53 +02:00
SirStone 254c7dc997 feat(ModularBot): pluggable bot with 4 guns, phantom meteor movement, radar harness
- Gun harness: virtual bullet tracker, rolling fitness, auto-selector
- Guns: head-on, linear (extrapolation), circular (integrated formula), tsetlin machine (learning)
- Movement: phantom meteor gravity engine (danger histograms, phantom bullets, fire detection)
- Radar: harness + radar_lock adapter
- Color-coded modules: turret/bullet color per gun, body per movement, scan per radar
- Beats Target, SpinBot, Crazy, TrackFire in 10-round battles
2026-09-20 00:37:10 +02:00