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.
SirStone
89370008da