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| Format: | Recurso digital |
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| Publicat: |
Zenodo
2026
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| Matèries: | |
| Accés en línia: | https://doi.org/10.5281/zenodo.19112805 |
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Taula de continguts:
- <p>This paper provides a minimal operational demonstration of lifecycle positioning within artificial intelligence systems using the Paton System. A neural network is analysed through admissibility datum stabilisation recursive continuation constraint drift and boundary proximity using observable performance indicators. The results show that AI systems can be located within a structural lifecycle and diagnosed prior to failure. This establishes the Paton System as an operational diagnostic framework rather than a purely descriptive architecture.</p> <p> </p>