Digital twins are becoming an increasingly important technological approach for representing, monitoring, simulating, and managing complex systems across engineering, healthcare, manufacturing, environmental science, urban planning, and artificial intelligence. Contemporary digital twins successfully integrate real-time data, computational models, and predictive analytics; however, they generally focus on operational performance rather than on the comprehensive assessment of long-term system viability. This article proposes the conceptual foundations of Viable Digital Twins within the framework of Vitology. Rather than representing digital twins solely as virtual replicas of physical systems, the proposed approach considers them dynamic scientific models capable of evaluating, predicting, preserving, restoring, and increasing system viability within the multidimensional Space of Harmony. Within this framework, viable digital twins integrate conceptual models of viability, quantitative indicators, mathematical representations, computational algorithms, empirical observations, and artificial intelligence into a unified computational environment. Such integration enables continuous evaluation of organizational states, analysis of developmental trajectories, early detection of declining viability, comparative investigation of alternative scenarios, and adaptive refinement through empirical feedback. Artificial intelligence functions as a methodological partner that continuously updates computational representations, identifies multidimensional organizational relationships, improves predictive capability, and supports Harmony Navigation while remaining subordinate to conceptual theory, mathematical rigor, and empirical validation. The proposed methodology establishes the scientific foundations for the future development of intelligent digital twins applicable to natural, biological, ecological, social, organizational, technological, and artificial systems. By integrating digital twin technology with the principles of Vitology, the proposed framework contributes to the emergence of a unified interdisciplinary methodology for investigating, preserving, restoring, and increasing the viability of complex systems. Keywords Vitology, digital twins, viable digital twins, viability, Space of Harmony, Harmony Navigation, artificial intelligence, computational modeling, systems science, predictive diagnostics, multidimensional analysis, intelligent systems, computational simulation, empirical validation, interdisciplinary research.
Serhii Hostiunin (Sun,) studied this question.