Abstract: This paper presents the formal mathematical and algorithmic foundation for the Topological Tension Method (AAM-T) within the framework of Dual-Input Architecture. The model describes complex systems (Artificial Intelligence, Financial Liquidity, Bioinformatics) through a multi-level phase geometry of nested tori. We introduce the concept of the "Negative Abstract" not as a system error, but as a topological defect—a controlled form of uncertainty that prevents phase rigidity (CRYSTAL state). It is demonstrated that metric distortions arising from the projection of high-dimensional topology onto a discrete base are converted into a chaos tensor M-. This process ensures autonomous self-regulation of the system, maintaining it within the cognitive attractor zone of 1/e ≈ 0. 3678. Methodology Identifier: AAM-V1ARTSYBASHEVUAKHARKIVAIANALYSIS
ANDRII ARTSYBASHEV (Tue,) studied this question.
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