Dynamic Analysis of Economic Systems and Applications AI-Driven Computational Models: Theory, Methodology, Real-World

Economic systems evolve through complex, dynamic interactions that traditional static models often fail to capture. This book offers a rigorous and forward-looking exploration of the dynamic behavior of economic systems, combining established economic theory with cutting-edge AI-driven computational models. By integrating machine learning, data-driven simulation, and nonlinear dynamic analysis, the book provides powerful tools for understanding, forecasting, and managing economic complexity. It bridges theory and practice through real-world applications, policy simulations, and computational case studies. Designed for researchers, graduate students, and professionals in economics, data science, and artificial intelligence, this work serves as a comprehensive reference for advanced economic analysis in the age of intelligent systems.