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QBI-Observer Lite+

Software module for Cognitive and Metacognitive Self-Observation
Part of the scientific project QBI-Core – Quantum Brain Interface

Module Description

QBI-Observer Lite+ is a non-autonomous, simplified version of the metacognitive self-observation module within the broader architecture known as QBI-Core (Quantum Brain Interface).

This module analyzes sequences of textual thoughts, with the goal of detecting and classifying:

  • Cognitive repetitions (mental loops)
  • Internal questions (explicit or implicit)
  • Emotionally relevant words (e.g., fear, hope, curiosity, frustration)
  • Metacognitive activity level (classified as low, medium, or high)

Technical Features

The module is implemented in Python 3.x and built using simple rule-based text analysis methods. It is lightweight, transparent, and easy to integrate into scientific testing environments.

Core functions:

  • aggiungi_pensiero(thought: str): adds a thought to the current session
  • rileva_loop(): returns any thoughts repeated more than once
  • rileva_domande(): detects thoughts formulated as questions
  • riconosci_emozioni(): identifies emotionally connoted words
  • classificazione_metacognitiva(): returns the metacognitive activity level (low, medium, high)
  • get_diario_sessione(): returns the full session thought log

Limitations and Clarifications

This Lite+ version is a foundational module intended exclusively for:

  • Scientific and academic testing
  • Experimental studies on metacognition
  • Transparent demonstrations of cognitive and metacognitive logic
  • Not suitable for commercial use or integration into autonomous decision-making systems

Important: This is not the complete version of QBI-Core.
This module does not possess any form of artificial consciousness, persistent memory, or autonomous intentionality.

QBI-Core and the AIC Paradigm

QBI-Core introduces a new category of artificial intelligence known as Artificial Integrated Cognition (AIC).
AIC aims to go beyond traditional AI by simulating advanced forms of self-observation, metacognition, and complex internal logic inspired by theories of quantum coherence in neuronal microtubules.

QBI-Observer Lite+ serves as a minimal, controlled and open-source demonstration intended for the scientific community to promote transparency, ethical research and responsible development in this emerging domain.

License and Ethical Usage

This module is released under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license, with explicit additional restrictions:

  • Non-commercial use only
  • Prohibited in autonomous systems, AGI, military, surveillance, or any context in violation of the EU AI Act 2024
  • Attribution to the original author is required (see Contact section)

See the included LICENSE.txt file for full legal terms.

How to Use the Module

Here is a quick usage example to start testing the module:

from observer import QBIObserverLite

observer = QBIObserverLite()

observer.aggiungi_pensiero('I don’t understand why I keep making the same mistake.')
observer.aggiungi_pensiero('Maybe I’m afraid of failing.')
observer.aggiungi_pensiero('I need to find a different approach.')
observer.aggiungi_pensiero('I don’t understand why I keep making the same mistake.')

print('Detected loops:', observer.rileva_loop())
print('Internal questions:', observer.rileva_domande())
print('Detected emotions:', observer.riconosci_emozioni())
print('Metacognitive classification:', observer.classificazione_metacognitiva())


Advanced Version
A more advanced, protected version of the QBI-Observer module exists, including integrated memory systems, learning capabilities, semantic graph generation, and deeper self-reflective processes.

To access the advanced version, request scientific collaboration, or receive more technical details, please contact the author directly.

Author Contact
Giuseppe Marino
Email: qbicore@pec.it
Phone: (+39) 348 5550525

About

QBI-Observer Lite+ is an open-source cognitive self-observation module derived from QBI-Core. It detects mental loops, internal questions, and metacognitive patterns. Not AGI. Not autonomous. It’s a transparent, ethical entry point into a new class of AI: Artificial Integrated Cognition (AIC).

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