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| Format: | Recurso digital |
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Zenodo
2025
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| Matèries: | |
| Accés en línia: | https://doi.org/10.5281/zenodo.17857784 |
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- <p><strong>This paper</strong> introduces a new methodological paradigm for physical measurement based on the concept of the <em>Informational Observer</em>. Building upon the framework developed in <strong><em>Theory of Informational State Dynamics (ISD)</em></strong>, the work argues that human visual perception represents only one highly compressed projection of the underlying informational structure of physical systems. Modern experiments—from quantum interferometry to gravitational-wave detection—reduce multidimensional phenomena into human-readable visual formats, obscuring much of the informational richness predicted by <strong>ISD</strong>.</p> <p>To overcome this limitation, the paper defines a unified observational architecture composed of three classes of observers: (1) biological observers, constrained by evolutionary sensory compression; (2) multimodal observers, which incorporate non-visual encodings such as temporal microstructure, statistical embeddings, and sonification; and (3) AI-based synthetic observers, capable of forming high-dimensional representations not accessible to any human sense. These heterogeneous compressions are integrated through the <strong><em>Principle of Likely Reality Convergence (PLRC)</em></strong>, which states that the most reliable approximation of physical reality is the informational structure that remains invariant across the largest set of independent compression mappings.</p> <p>The paper formalizes this idea through the <strong><em>Convergent Observational Manifold (COM)</em></strong> and proposes a set of falsifiable experimental designs—including enhanced double-slit experiments, Mach–Zehnder interferometry, decoherence-boundary tests, and gravitational-wave latent analysis. Together, these methods provide an observation-independent route to accessing the<strong> Informational Symmetry Field (ISF)</strong> and establish the Informational Observer as the experimental counterpart to <strong>ISD</strong>.</p>