Fundamental Equation of Open Systems (Aleph Equation)

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Autore principale: Bresciano, Claudio
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2026
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author Bresciano, Claudio
author_facet Bresciano, Claudio
contents <p>This paper introduces a unified structural framework for the realization limits of open systems, centered on the <strong>Aleph Equation</strong> and the <strong>Oniric Value Theorem</strong>. We propose that the operational openness of a system is not a function of instantaneous state, but a result of the historical accumulation of unrealized surplus. Formally, we define the <strong>Aleph Principle</strong>: a system remains operationally closed only as long as its cumulative surplus—the integral of generative capacity (<span>G</span>) minus control capacity (<span>Psi</span>)—does not exceed its maximum internal absorptive capacity (<span>\aleph_{\max}</span>).</p> <p>When this threshold is breached, the system undergoes a topological transition where closure becomes structurally impossible, forcing externalization through leakage, bifurcation, or emergence. Parallelly, we formalize the <strong>Oniric Value Theorem</strong> as the diagnostic criterion for this regime. It identifies "oniric value" as declared assets or capabilities that remain stable only while deferred; their attempted exercise triggers systemic degradation because the cumulative surplus has already reached the absorptive limit.</p> <p>By applying this dual framework to censorship regimes, cloud computing, and AI alignment, we demonstrate that systemic stability is often a consequence of non-exercise rather than genuine capacity. This synthesis provides a non-moral, measurable, and domain-independent diagnostic tool for distinguishing operational value from narrative value before irreversible structural commitment occurs.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18174402
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Fundamental Equation of Open Systems (Aleph Equation)
Bresciano, Claudio
Aleph Equation, Oniric Value Theorem, Open-System Realization, Cumulative Surplus Dynamics, Absorptive Capacity (\aleph_{\max}), Narrative vs. Operational ValueStructural ClosureAI Alignment ArchitectureCensorship RealizabilityThroughput Optimization (Psi)
<p>This paper introduces a unified structural framework for the realization limits of open systems, centered on the <strong>Aleph Equation</strong> and the <strong>Oniric Value Theorem</strong>. We propose that the operational openness of a system is not a function of instantaneous state, but a result of the historical accumulation of unrealized surplus. Formally, we define the <strong>Aleph Principle</strong>: a system remains operationally closed only as long as its cumulative surplus—the integral of generative capacity (<span>G</span>) minus control capacity (<span>Psi</span>)—does not exceed its maximum internal absorptive capacity (<span>\aleph_{\max}</span>).</p> <p>When this threshold is breached, the system undergoes a topological transition where closure becomes structurally impossible, forcing externalization through leakage, bifurcation, or emergence. Parallelly, we formalize the <strong>Oniric Value Theorem</strong> as the diagnostic criterion for this regime. It identifies "oniric value" as declared assets or capabilities that remain stable only while deferred; their attempted exercise triggers systemic degradation because the cumulative surplus has already reached the absorptive limit.</p> <p>By applying this dual framework to censorship regimes, cloud computing, and AI alignment, we demonstrate that systemic stability is often a consequence of non-exercise rather than genuine capacity. This synthesis provides a non-moral, measurable, and domain-independent diagnostic tool for distinguishing operational value from narrative value before irreversible structural commitment occurs.</p>
title Fundamental Equation of Open Systems (Aleph Equation)
topic Aleph Equation, Oniric Value Theorem, Open-System Realization, Cumulative Surplus Dynamics, Absorptive Capacity (\aleph_{\max}), Narrative vs. Operational ValueStructural ClosureAI Alignment ArchitectureCensorship RealizabilityThroughput Optimization (Psi)
url https://doi.org/10.5281/zenodo.18174402