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Main Author: Nagy, Norbert Ferenc
Format: Recurso digital
Language:English
Published: Zenodo 2026
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Online Access:https://doi.org/10.5281/zenodo.18948342
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author Nagy, Norbert Ferenc
author_facet Nagy, Norbert Ferenc
contents <p>Universal Information Field Theory introduces a unified theoretical framework in which communication is interpreted as structured state transport on an information manifold and, more generally, as the evolution of an information field.</p> <p> </p> <p>The work combines:</p> <p>- Shannon entropy</p> <p>- Fisher information geometry</p> <p>- geodesic communication</p> <p>- structured noise telemetry</p> <p>- retina-inspired task-relevant detection</p> <p>- thermodynamic information geometry</p> <p>- network curvature and information-gravity analogies</p> <p> </p> <p>Three central theoretical claims are developed:</p> <p>1. optimal communication paths are geodesics in information space,</p> <p>2. structured noise can encode telemetry about channel or network state,</p> <p>3. retina-like preprocessing can increase task-relevant Fisher information under suitable signal and noise conditions.</p> <p> </p> <p>This deposit is a theoretical research monograph and framework document.</p>
format Recurso digital
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institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Universal Information Field Theory
Nagy, Norbert Ferenc
Universal Information Field Theory
<p>Universal Information Field Theory introduces a unified theoretical framework in which communication is interpreted as structured state transport on an information manifold and, more generally, as the evolution of an information field.</p> <p> </p> <p>The work combines:</p> <p>- Shannon entropy</p> <p>- Fisher information geometry</p> <p>- geodesic communication</p> <p>- structured noise telemetry</p> <p>- retina-inspired task-relevant detection</p> <p>- thermodynamic information geometry</p> <p>- network curvature and information-gravity analogies</p> <p> </p> <p>Three central theoretical claims are developed:</p> <p>1. optimal communication paths are geodesics in information space,</p> <p>2. structured noise can encode telemetry about channel or network state,</p> <p>3. retina-like preprocessing can increase task-relevant Fisher information under suitable signal and noise conditions.</p> <p> </p> <p>This deposit is a theoretical research monograph and framework document.</p>
title Universal Information Field Theory
topic Universal Information Field Theory
url https://doi.org/10.5281/zenodo.18948342