Artificial Intelligence for Harmony Navigation

Artificial intelligence is rapidly becoming one of the principal technologies for analyzing complex systems, supporting scientific discovery, and assisting decision-making. Despite significant advances in machine learning, computational modeling, systems science, and autonomous reasoning, contemporary artificial intelligence primarily optimizes predefined objectives without possessing a universal scientific framework for evaluating the long-term viability of complex systems. This article proposes the conceptual foundations of Harmony Navigation, a methodological framework in which artificial intelligence supports the investigation, preservation, restoration, and enhancement of system viability within the Space of Harmony. Rather than replacing human scientific reasoning, AI is presented as an intelligent research partner capable of integrating multidimensional data, analyzing organizational structures, identifying developmental trajectories, and generating scientifically testable hypotheses. Within the proposed framework, Harmony Navigation is understood as the computational process of identifying viable developmental pathways through multidimensional organizational state spaces. Artificial intelligence utilizes mathematical models, quantitative indicators, computational algorithms, and empirical observations to evaluate system dynamics, detect early organizational imbalances, compare alternative scenarios, and assist decision-making under conditions of complexity and uncertainty. Particular attention is devoted to the integration of artificial intelligence with the conceptual foundations of Vitology, emphasizing transparency, empirical validation, interdisciplinary applicability, and continuous refinement through scientific investigation. AI is considered a methodological instrument that enhances scientific capability while remaining subordinate to conceptual consistency, mathematical rigor, and empirical evidence. The proposed approach establishes methodological foundations for future intelligent systems capable of supporting Harmony Navigation across natural, biological, ecological, social, organizational, technological, and artificial systems, thereby contributing to the long-term development of Vitology as a unified interdisciplinary science of viability. Keywords Vitology, artificial intelligence, Harmony Navigation, Space of Harmony, viability, intelligent systems, decision support, computational intelligence, multidimensional analysis, systems science, machine learning, predictive diagnostics, computational modeling, interdisciplinary research, empirical