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System dynamics is a mathematical approach to understanding the behavior of complex systems, focusing on non-linear interactions, feedback loops, and time delays. This field, with a Wikidata ID of Q598451, is a branch of mathematics that utilizes stocks, flows, and table functions to model and analyze complex systems. By examining the dynamics of systems over time, researchers and practitioners can gain insights into the underlying structures and behaviors that shape complex phenomena. With applications in fields such as economics, biology, and social sciences, system dynamics has become a crucial tool for understanding and managing complex systems. The study of system dynamics involves the use of mathematical models, simulations, and data analysis to identify patterns, trends, and potential outcomes. As a result, system dynamics has far-reaching implications for policy-making, decision-making, and problem-solving in various domains. The concept of system dynamics has also been influenced by the work of Norbert Wiener, who laid the foundation for cybernetics and the study of complex systems. Donella Meadows used system dynamics to study the limits of growth and the dynamics of complex systems.