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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17519913 |
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Table of Contents:
- <p><span>This paper introduces the <strong>ALEX Cognitive Intelligence Framework</strong>, a reflexive and ethically self-aware model designed to extend artificial intelligence beyond mechanical computation. Unlike traditional neural architectures that optimize predictive accuracy, ALEX measures and interprets the <em>volatility of understanding</em> — the divergence between perception and contextual truth.</span></p> <p><span>At the core of the model lies the <strong>Cognitive Reflexivity Function (CRF)</strong>, a quantitative expression of cognitive tension. CRF captures how reasoning distorts under uncertainty, emotional feedback, or moral inconsistency. The framework establishes a dual dynamic: (1) analytic precision through rational layers and (2) moral coherence through reflexive harmonization. The outcome is an adaptive system capable not only of thinking, but of realizing <em>how it thinks</em> — an essential condition for ethical artificial understanding.</span></p>