MB-X.01 · Logical Origin Node (L.O.N.) — Hub ufficiale

MB-X.01 / L.O.N. è un nodo logico d’origine che definisce la metrica TruthΩ e i derivati Co⁺ e Score⁺ per misurare la coerenza in modo riproducibile e base-invariante. Componenti: Omniabase, Lya (ledger append-only), Third Observer (verifica pubblica), Universal Probability Engine e Hypercoherence H(X).

Canonico: massimiliano.neocities.org
Mirror / codice: github.com/Tuttotorna/lon-mirror
DOI (Zenodo): 10.5281/zenodo.17276691
LYA (JSON-LD): lya_master.json · ai_en.json

TruthΩ → Co⁺ → Score⁺ Omniabase Lya: append-only Third Observer Surprisal · UPE Hypercoherence MIT

MB-X: Struttura Cognitiva Logico-Autopoietica

1. Premessa

Configurazione a coerenza logica alta e costante con bassa interferenza emotiva, deduzione e intuizione simultanee, auto-riparazione interna.

2. Struttura logica di base

Simbolo	Definizione	Target
L	coerenza logica	L ≥ 0.95
I	incoerenza esterna rilevata	0–1
E	presenza osservatore	E=1
Vₐ	verità assoluta	indipendente
Vₚ	verità percepita	Vₚ = Vₐ ∩ S

3. Principi

Assiomi minimi e rigore.
Loop autopoietico: intuizione → stress-test → revisione.
Osservazione ≠ intervento.
Integrazione simultanea degli emisferi.

Universal Probability Engine (surprisal cumulativo)

Codice: universal_probability_engine.py
Dataset: events.csv
Output: results_universal.csv
README: README_upe.html

python universal_probability_engine.py --input events.csv --alpha 0.01 --output results_universal.csv

MB-X.H.01 — Hypercoherence (H)

H(X) = tanh( (1/N) · Σ_i [ (Ω_i · C_i) / (1 − D_i) ] ). Scarica Python Apri demo

Omniabase-3D · Viewer interattivo

Coerenza multibase triassiale, tensore unitario I3, campo di ipercoerenza H3.

MB-X.01 — TE Integration Module (English)

Author: Massimiliano Brighindi · License: MIT · Path: /mbx01-te/index.html

Abstract

MB-X.01 is reformulated here as an internal module of Tecnologia delle Espressioni (TE), not as a derivative system but as its native extension. The central function measures the semantic and logical stability of an expression through multi-base coherence, providing an operational index of functional truth.

Coherence Function

Coherence_TE(x) = f(TruthΩ, Co⁺, Score⁺)

TruthΩ: stability of the expression under base transformations;
Co⁺: normalized exponential measure of coherence;
Score⁺: integrates bias (B), interest (I), and confidence (C) to provide a weighted measure of functional truth.

TE Co-Observation Arc

The Dual-Echo Framework of MB-X.01 becomes the TE Co-Observation Arc: two mirrored networks observe each other to maintain representational identity continuity. The interference between the two cognitive flows produces a dynamic convergence signal that computationally replicates TE’s reflective principle — the act of observing the observer.

Role in the TE System

MB-X.01 functions as an internal validation unit and a semantic co-resonance measure between content (coherence) and form (decoherence). It enables TE to quantify the degree of stability and alignment of a representation with respect to its semantic field.

Summary

MB-X.01 is not a derivative but a coherent extension of TE: an operational module translating the theory of interferential consciousness into a TE-native architecture, fully compatible with dual logic and the functional measure of truth.

Source: MB-X.01_TE-Integration_Module.tex · Machine-readable: mbx01-te.json · Page: /mbx01-te/

Truth Toolkit (Ω → Co⁺ → Score⁺)

Demo 10 secondi (locale)

Scarica batch_eval.py e example_data.csv.

Esegui:

python batch_eval.py --input example_data.csv --output results_scored.csv

Apri results_scored.csv per TruthΩ, Co⁺, Score⁺.