Appendix ENT — Limit Structures in Information Theory and Entropy
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2026
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| _version_ | 1866901669927714816 |
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| author | Sakamoto, Keiji |
| author_facet | Sakamoto, Keiji |
| contents | <p>Appendix ENT records a <strong>structural boundary log</strong> of where information theory and entropy remain fully operational—and where their presuppositions diverge from the observational structure assumed in Dualbind.</p> <p>This text does <strong>not</strong> introduce a new theoretical system, does <strong>not</strong> use information theory to justify Dualbind, and does <strong>not</strong> attempt to integrate, connect, or reduce the two frameworks. Its aim is to make explicit the domain in which their scopes do not coincide.</p> <p>The discussion is organized around: the formal character of entropy in Shannon-style information theory; the <strong>non-identity of information and meaning</strong>; the treatment of the observing subject as an external condition; and the scope of the principle of maximum entropy as a method of selection rather than a definition of truth or reality.</p> <p>Accordingly, Dualbind does not focus on the magnitude of information or optimal coding, but on <strong>where meaning-operations are halted, retained, or exposed</strong>—that is, the boundary conditions under which meaning becomes inoperable. The conclusion is intentionally non-conclusive: the difference is not a conflict, but a boundary condition where the two scopes do not coincide.</p> <p>For correspondence: <a href="mailto:laboratory@dualbind.com" rel="noopener">laboratory@dualbind.com</a><br>License: CC BY 4.0</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18239398 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Appendix ENT — Limit Structures in Information Theory and Entropy Sakamoto, Keiji Dualbind Math Boundary Appendix ENT Entropy Information theory Shannon entropy Meaning Information vs meaning Observing subject Observability Maximum entropy principle Boundary condition Non closure Structural boundary log 双結 数学境界 エントロピー 情報理論 シャノンエントロピー 意味 情報と意味 観測主体 可観測性 最大エントロピー原理 境界条件 非閉性 構造境界ログ <p>Appendix ENT records a <strong>structural boundary log</strong> of where information theory and entropy remain fully operational—and where their presuppositions diverge from the observational structure assumed in Dualbind.</p> <p>This text does <strong>not</strong> introduce a new theoretical system, does <strong>not</strong> use information theory to justify Dualbind, and does <strong>not</strong> attempt to integrate, connect, or reduce the two frameworks. Its aim is to make explicit the domain in which their scopes do not coincide.</p> <p>The discussion is organized around: the formal character of entropy in Shannon-style information theory; the <strong>non-identity of information and meaning</strong>; the treatment of the observing subject as an external condition; and the scope of the principle of maximum entropy as a method of selection rather than a definition of truth or reality.</p> <p>Accordingly, Dualbind does not focus on the magnitude of information or optimal coding, but on <strong>where meaning-operations are halted, retained, or exposed</strong>—that is, the boundary conditions under which meaning becomes inoperable. The conclusion is intentionally non-conclusive: the difference is not a conflict, but a boundary condition where the two scopes do not coincide.</p> <p>For correspondence: <a href="mailto:laboratory@dualbind.com" rel="noopener">laboratory@dualbind.com</a><br>License: CC BY 4.0</p> |
| title | Appendix ENT — Limit Structures in Information Theory and Entropy |
| topic | Dualbind Math Boundary Appendix ENT Entropy Information theory Shannon entropy Meaning Information vs meaning Observing subject Observability Maximum entropy principle Boundary condition Non closure Structural boundary log 双結 数学境界 エントロピー 情報理論 シャノンエントロピー 意味 情報と意味 観測主体 可観測性 最大エントロピー原理 境界条件 非閉性 構造境界ログ |
| url | https://doi.org/10.5281/zenodo.18239398 |