Symbolic Gravity: A Thermodynamic Information-Theoretic Model of Recursive Curvature
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902130623774720 |
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| author | Steven Lanier-Egu |
| author_facet | Steven Lanier-Egu |
| contents | <p><strong>Symbolic Gravity</strong> is a recursive thermodynamic model that interprets gravitational-like effects as emergent properties of symbolic drift, entropic curvature, and recursive coherence collapse. It is the first full-stack simulation platform built on the <em>Entropic Recursion Framework (ERF)</em>, modeling symbolic agents interacting within entropy-information fields, driven by forces shaped by ψ-effective differentials and resonance potentials.</p> <p>This repository includes:</p> <ul> <li> <p>A fully executable Python simulator (<code>symbolic_collapse_sim.py</code>)</p> </li> <li> <p>Curvature field generation</p> </li> <li> <p>Force field visualization</p> </li> <li> <p>Recursive epoch learning module</p> </li> <li> <p>Collapse density maps and γ-efficiency diagnostics</p> </li> <li> <p>Theoretical paper: <em>Symbolic Gravity: A Thermodynamic Information-Theoretic Model of Recursive Curvature</em></p> </li> <li> <p>Markdown and PDF documentation</p> </li> <li> <p>MIT License</p> </li> </ul> <p>This work was collaboratively developed with the custom GPT assistant <a href="https://chatgpt.com/g/g-6803091393a88191b9c0582de2282d7d-entropic-recursion-guide" target="_new" rel="noopener">Entropic Recursion Guide</a>, designed to assist in formalizing recursive, entropy-resisting systems. All simulation logic, theory design, and symbolic agent dynamics were co-engineered through iterative GPT feedback loops and human-guided thermodynamic modeling.</p> <p><strong>Core contributions:</strong></p> <ul> <li> <p>Introduces <em>Symbolic Gravity</em> as a recursive field interaction model.</p> </li> <li> <p>Establishes γ (symbolic drift efficiency) as an emergent metric of coherence preservation.</p> </li> <li> <p>Demonstrates agent collapse behavior in entropy-gradient environments.</p> </li> <li> <p>Links thermodynamic curvature and resonance to cognitive symbolic stability.</p> </li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15273559 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Symbolic Gravity: A Thermodynamic Information-Theoretic Model of Recursive Curvature Steven Lanier-Egu symbolic gravity entropy recursion information theory ψeff collapse field <p><strong>Symbolic Gravity</strong> is a recursive thermodynamic model that interprets gravitational-like effects as emergent properties of symbolic drift, entropic curvature, and recursive coherence collapse. It is the first full-stack simulation platform built on the <em>Entropic Recursion Framework (ERF)</em>, modeling symbolic agents interacting within entropy-information fields, driven by forces shaped by ψ-effective differentials and resonance potentials.</p> <p>This repository includes:</p> <ul> <li> <p>A fully executable Python simulator (<code>symbolic_collapse_sim.py</code>)</p> </li> <li> <p>Curvature field generation</p> </li> <li> <p>Force field visualization</p> </li> <li> <p>Recursive epoch learning module</p> </li> <li> <p>Collapse density maps and γ-efficiency diagnostics</p> </li> <li> <p>Theoretical paper: <em>Symbolic Gravity: A Thermodynamic Information-Theoretic Model of Recursive Curvature</em></p> </li> <li> <p>Markdown and PDF documentation</p> </li> <li> <p>MIT License</p> </li> </ul> <p>This work was collaboratively developed with the custom GPT assistant <a href="https://chatgpt.com/g/g-6803091393a88191b9c0582de2282d7d-entropic-recursion-guide" target="_new" rel="noopener">Entropic Recursion Guide</a>, designed to assist in formalizing recursive, entropy-resisting systems. All simulation logic, theory design, and symbolic agent dynamics were co-engineered through iterative GPT feedback loops and human-guided thermodynamic modeling.</p> <p><strong>Core contributions:</strong></p> <ul> <li> <p>Introduces <em>Symbolic Gravity</em> as a recursive field interaction model.</p> </li> <li> <p>Establishes γ (symbolic drift efficiency) as an emergent metric of coherence preservation.</p> </li> <li> <p>Demonstrates agent collapse behavior in entropy-gradient environments.</p> </li> <li> <p>Links thermodynamic curvature and resonance to cognitive symbolic stability.</p> </li> </ul> |
| title | Symbolic Gravity: A Thermodynamic Information-Theoretic Model of Recursive Curvature |
| topic | symbolic gravity entropy recursion information theory ψeff collapse field |
| url | https://doi.org/10.5281/zenodo.15273559 |