Integrated Computational Framework of Vitology

Modern interdisciplinary research increasingly requires the integration of conceptual theory, mathematical modeling, computational algorithms, artificial intelligence, digital twins, predictive analytics, and intelligent decision-support systems into coherent scientific environments. While these computational technologies have achieved remarkable progress, they are typically developed as separate methodologies without a unified theoretical foundation centered on the long-term viability of complex systems.This article proposes the Integrated Computational Framework of Vitology as a unified scientific architecture that combines conceptual theory, quantitative indicators, mathematical models, computational algorithms, artificial intelligence, viable digital twins, predictive diagnostics, intelligent decision-support systems, Complex Adaptive Systems, and the Space of Harmony into a single interdisciplinary computational framework. Rather than functioning as isolated computational tools, these components operate as mutually connected elements of an evolving scientific methodology devoted to investigating, modeling, predicting, preserving, restoring, navigating, and increasing system viability.The proposed framework establishes the computational architecture necessary for future intelligent scientific platforms capable of supporting interdisciplinary research across natural, biological, ecological, social, organizational, technological, and artificial systems while maintaining conceptual consistency, mathematical rigor, empirical validation, and scientific transparency. Keywords Vitology, Integrated Computational Framework, Computational Vitology, viability, Space of Harmony, Harmony Navigation, mathematical modeling, computational algorithms, artificial intelligence, digital twins, predictive diagnostics, intelligent decision support systems, Complex Adaptive Systems,interdisciplinary systems science.