The Informational Observer - Theory of Informational State Dynamics (ISD)
Fuente:
Zenodo
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Recurso digital |
| Pubblicazione: |
Zenodo
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866901765674237952 |
|---|---|
| author | Greco, Giuseppe Junior |
| author_facet | Greco, Giuseppe Junior |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17857784 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Informational Observer - Theory of Informational State Dynamics (ISD) Greco, Giuseppe Junior Informational Observer Informational State Dynamics ISD Compression-Convergent Measurement Informational Symmetry Field Multimodal Observation AI Synthetic Perception Synthetic Observer PLRC Convergent Observational Manifold COM Observational Framework Quantum Measurement Informational Physics Epistemic Framework Measurement Theory Physics of Information Quantum Interference Double Slit Experiment Mach-Zehnder Interferometer Decoherence Quantum-Classical Transition Gravitational Waves <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> |
| title | The Informational Observer - Theory of Informational State Dynamics (ISD) |
| topic | Informational Observer Informational State Dynamics ISD Compression-Convergent Measurement Informational Symmetry Field Multimodal Observation AI Synthetic Perception Synthetic Observer PLRC Convergent Observational Manifold COM Observational Framework Quantum Measurement Informational Physics Epistemic Framework Measurement Theory Physics of Information Quantum Interference Double Slit Experiment Mach-Zehnder Interferometer Decoherence Quantum-Classical Transition Gravitational Waves |
| url | https://doi.org/10.5281/zenodo.17857784 |