| _version_ | 1866901364384202752 |
|---|---|
| author | McGeough, Fiona Marie |
| author_facet | McGeough, Fiona Marie |
| contents | <p>This article introduces the <strong>Noetic Coherence Field (NCF)</strong>, a novel operator-defined field that models coherence across symbolic and embodied systems. Drawing from operator theory, Riemannian geometry, and signal analysis, the NCF defines a universal coupling constant and a field equation linking physiological, linguistic, and affective signals through curvature dynamics. It proposes coherence as a fundamental interaction akin to gravity, offering applications in trauma diagnostics, AI alignment, and biological signal integration. The manuscript includes theoretical derivation, synthetic simulations, and implications for real-time coherence mapping in healthcare and intelligent systems.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16728568 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Discovery of the Noetic Coherence Field: A Fundamental Law of Self-Organisation in Embodied and Symbolic Systems McGeough, Fiona Marie <p>This article introduces the <strong>Noetic Coherence Field (NCF)</strong>, a novel operator-defined field that models coherence across symbolic and embodied systems. Drawing from operator theory, Riemannian geometry, and signal analysis, the NCF defines a universal coupling constant and a field equation linking physiological, linguistic, and affective signals through curvature dynamics. It proposes coherence as a fundamental interaction akin to gravity, offering applications in trauma diagnostics, AI alignment, and biological signal integration. The manuscript includes theoretical derivation, synthetic simulations, and implications for real-time coherence mapping in healthcare and intelligent systems.</p> |
| title | Discovery of the Noetic Coherence Field: A Fundamental Law of Self-Organisation in Embodied and Symbolic Systems |
| url | https://doi.org/10.5281/zenodo.16728568 |