Dynamic modeling is a research area within the field of systems theory and computer science that focuses on creating mathematical models of systems that change or evolve over time. These models incorporate various factors such as feedback loops, time delays, and nonlinear relationships to simulate the behavior of complex dynamic systems. Dynamic modeling is used in a wide range of applications, including engineering, economics, biology, and environmental science, to understand system dynamics, predict future outcomes, and optimize system performance. Key techniques used in dynamic modeling include differential equations, system dynamics, agent-based modeling, and discrete event simulation. Overall, dynamic modeling plays a crucial role in understanding and analyzing the behavior of dynamic systems in various disciplines.