Descrizione linguaggio-agnostica dell’engine usato da MB-X.01.
s; set basi B={2,3,4,...}; prior C, ext, leverage, risk, stress, self.B, I, coerenza Co, punteggi e mediana.
function EVALUATE(s, B={2,3,4}, priors):
# 1) Preprocessing
s_clean = NORMALIZE_TEXT(s) # minuscole, diacritici rimossi, spazi compattati
s_noego = STRIP_EGO(s_clean) # rimozione forme autoriferite (IT/EN)
# 2) Firme per n-gram (per semplicità: n ∈ {2,3,4})
sig_base = { n: SIGNATURE(s_clean, n) for n in {2,3,4} }
sig_noego = { n: SIGNATURE(s_noego, n) for n in {2,3,4} }
# SIGNATURE(t, n):
# counts = NGRAM_COUNTS(t, n)
# len = LENGTH(t)
# topK = TOP_K(counts)
# return {len, topK}
# 3) Coerenza (proxy): convergenza delle lunghezze tra n
Co_base = COHERENCE(sig_base) # 0..100
Co_ne = COHERENCE(sig_noego) # 0..100
# COHERENCE({s2,s3,s4}):
# L = [s2.len, s3.len, s4.len]
# return ROUND(50 + 50*(1 - (max(L)-min(L))/max(L)))
# 4) Bias (B) e Interesse (I)
sim_ego = { n: COS_SIM( NGRAM_COUNTS(s_clean,n), NGRAM_COUNTS(EGO_MARKERS,n) ) for n in {2,3,4} }
B_pern = [ BIAS(sim_ego[n], priors.stress, priors.self, priors.ext) for n in {2,3,4} ]
B_med = MEDIAN(B_pern)
# BIAS(sim, stress, self, ext) = clamp(0.45*sim*(1-stress) + 0.35*self + 0.20*(1-ext), 0,1)
dist = DIST(sig_base) # divergenza firme tra n (0..1)
I_val = INTEREST(priors.leverage, priors.risk, dist)
# INTEREST = clamp(0.6*(0.5*leverage+0.5*risk) + 0.4*dist, 0,1)
# 5) Truth evaluation per viste
views = []
for n in {2,3,4}:
views.append( TRUTH(priors.C, Co_base, B_med, I_val, view="base n="+n) )
views.append( TRUTH(priors.C, Co_ne, B_med*0.90, I_val*0.90, view="noego n="+n) )
# TRUTH(C, Co(0..100), B, I):
# Co01 = Co/100
# score = C*Co01 - (B+I)/2
# state = bucket(score) # VERO/PROBABILE/INCERTO/FALSO
# return {C, Co, B, I, score, state}
# 6) Aggregazione
S = [v.score for v in views]
agg = { median: MEDIAN(S), min: MIN(S), max: MAX(S) }
return {
statement: s,
priors: priors,
signatures: { base: sig_base, noego: sig_noego },
BI: { B_med: B_med, I: I_val, dist_proxy: dist },
views: views,
aggregate: agg
}
|N|=3 tipico; costante piccola.