The Code Theory: A Formal Ontology of Subjectivity, Meaning, and Divergence
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| Formato: | Recurso digital |
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2025
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| _version_ | 1866902295087677440 |
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| author | Ednyashev, Sanal |
| author_facet | Ednyashev, Sanal |
| contents | <p>This work introduces Code Theory, a formal and universal framework for modeling subjectivity, dynamic divergence, and expressive integrity in cognitive and artificial systems. Rooted in mathematical formulations, the theory defines a subject not through phenomenology or biology, but through structural conditions of memory sensitivity, divergence, and feedback-driven expression. We present rigorous criteria for stable subjectivity, model the gradients of pain (B) and meaning (S), define collapse conditions, and introduce ∂*-boundaries of expressibility. The theory offers applications in AI alignment, cognitive science, psychiatry, and information theory.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15604878 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Code Theory: A Formal Ontology of Subjectivity, Meaning, and Divergence Ednyashev, Sanal <p>This work introduces Code Theory, a formal and universal framework for modeling subjectivity, dynamic divergence, and expressive integrity in cognitive and artificial systems. Rooted in mathematical formulations, the theory defines a subject not through phenomenology or biology, but through structural conditions of memory sensitivity, divergence, and feedback-driven expression. We present rigorous criteria for stable subjectivity, model the gradients of pain (B) and meaning (S), define collapse conditions, and introduce ∂*-boundaries of expressibility. The theory offers applications in AI alignment, cognitive science, psychiatry, and information theory.</p> |
| title | The Code Theory: A Formal Ontology of Subjectivity, Meaning, and Divergence |
| url | https://doi.org/10.5281/zenodo.15604878 |