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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18651506 |
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Table of Contents:
- <p>This document presents the canonical version of the \Psi-Architecture (February 2026), a transdisciplinary theoretical framework developed by Anna Taranova. The work integrates principles of theoretical physics, cognitive science, and systems theory to describe reality not as a collection of objects, but as a closed architecture of circulations and "architectural conductance."</p> <p>Key Theoretical Contributions:</p> <p>• Level -1 to Level III Framework: The paper establishes a multi-layered meta-architecture, moving from fundamental ontology and the "Projection Operator" to technical frameworks involving toroidal topology and Temporal Integration Nodes (TIN).</p> <p>• The No-Go Theorem for Control: A central proof demonstrating that in complex adaptive systems, stability cannot be maintained through external optimization or linear control once a complexity threshold (N^*) is crossed. The work argues that control costs grow as O(N^3), making traditional management structurally impossible for high-order systems.</p> <p>• The Structural Invariant (\tau = R \times C): Introduction of a fundamental law of adaptive stability, where \tau represents the balance between Rigidity (R) and Capacitance/Plasticity (C).</p> <p>• Architectural Conductance: A shift from viewing consciousness as an "observer" to defining it as an internal region where the universal architecture becomes conductive.</p> <p>• \Psi-Operator: Defined as the density of coherent intersections between system flows, serving as a predicate for the realizability of physical laws.</p> <p>Methodology:</p> <p>The research utilizes an "Architecture of Levels" approach, connecting disparate fields through projection and closure rather than linear argumentation. It provides the architectural conditions under which any coherent world or physical theory can exist.</p> <p>Target Audience:</p> <p>This work is intended for researchers in theoretical physics, cybernetics, neurobiology, artificial intelligence, and the philosophy of science interested in the foundational limits of control and the structural nature of reality.</p>