THE ALEX COGNITIVE INTELLIGENCE FRAMEWORK
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902256270442496 |
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| author | Minchev, Teodor Boyanov |
| author_facet | Minchev, Teodor Boyanov |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17519913 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | THE ALEX COGNITIVE INTELLIGENCE FRAMEWORK Minchev, Teodor Boyanov <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> |
| title | THE ALEX COGNITIVE INTELLIGENCE FRAMEWORK |
| url | https://doi.org/10.5281/zenodo.17519913 |