INNOVATION PROCESSES IN COMPLEX SYSTEMS: ISSUES OF SYSTEMS ANALYSIS AND MODELING
- Authors
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Xurramova Ra’no Ibragimovna
Associate Professor, the Department of Convergence of Digital Technologies, Faculty of Computer Engineering, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi
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- Keywords:
- Complex Systems Innovation Self-Organization Emergence Systems Approach Agent-Based Modeling System Dynamics Digital Economy
- Abstract
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This article analyzes the essence of innovation processes, their structural elements, interconnections, and self-organization mechanisms from the perspective of complex systems theory. The processes of generation, diffusion, and adoption of innovative ideas within a systemic approach are examined. A comparative analysis of modern methods for modeling and forecasting complex systems - agent-based modeling, system dynamics, network analysis, nonlinear dynamical systems, and machine learning approaches - is presented. The findings are of practical significance for managing complex information systems and enhancing innovation potential in the digital economy.