This article proposes a unified platform integrating computational vitology concepts to enhance system viability, suggesting interdisciplinary applications.
The continuous development of Computational Vitology requires the integration of conceptual theory, mathematical models, computational algorithms, artificial intelligence, digital twins, predictive diagnostics, intelligent decision-support systems, and the Space of Harmony into a unified scientific environment. Although these components have been progressively developed throughout previous studies, their full scientific potential emerges only when they operate as interconnected elements of a common intelligent platform dedicated to investigating long-term system viability. This article proposes the Unified Intelligent Platform of Vitology as the culminating computational architecture of Block E. The platform integrates the conceptual foundations of Vitology with interdisciplinary computational methodologies into a coherent scientific ecosystem capable of supporting scientific investigation, mathematical formalization, computational modeling, predictive analysis, Harmony Navigation, and intelligent decision support across natural, biological, ecological, social, organizational, technological, and artificial systems. Rather than representing a completed technological product, the proposed platform constitutes an evolving scientific architecture designed for continuous development through empirical validation, interdisciplinary collaboration, computational innovation, and artificial intelligence. The framework establishes the methodological basis for future intelligent scientific infrastructures devoted to investigating, preserving, restoring, navigating, and progressively increasing the viability of complex systems. Keywords English: Vitology, Unified Intelligent Platform, Computational Vitology, artificial intelligence, Space of Harmony, Harmony Navigation, mathematical modeling, computational algorithms, digital twins, predictive diagnostics, intelligent decision support, interdisciplinary systems science, system viability.
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Serhii Hostiunin (2026) studied this question.
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