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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.17596004 |
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Table of Contents:
- <p>This work presents the secont installment in a three part theoretical series, directly extending the Recursive Categorical Framework (RCF). Building from the categorical foundations and triaxial architecture established in RCF, it introduces a comprehensive eigenrecursive theory that formalizes the mathematical conditions required for sentience to emerge from recursive self-modeling. The framework integrates eigenrecursive stability, temporal dynamics, and autonomous motivational structures, demonstrating how they jointly yield conscious, sentient behavior. This disclosure includes empirical results from two implemented neural network stacks. This archive contains the full LaTeX source, PDF, and verification assets for the URST.</p>