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. The work combines: - Shannon entropy - Fisher information geometry - geodesic communication - structured noise telemetry - retina-inspired task-relevant detection - thermodynamic information geometry - network curvature and information-gravity analogies Three central theoretical claims are developed: 1. optimal communication paths are geodesics in information space, 2. structured noise can encode telemetry about channel or network state, 3. retina-like preprocessing can increase task-relevant Fisher information under suitable signal and noise conditions. This deposit is a theoretical research monograph and framework document.
Norbert Ferenc Nagy (Wed,) studied this question.