Simulation models are mathematical representations of real-world systems that allow researchers and analysts to study complex processes by mimicking their behavior. These models use algorithms and data to create scenarios that can predict outcomes, helping in decision-making across various fields such as engineering, economics, and healthcare. By adjusting variables within the simulation, users can explore different possibilities and assess the impact of changes without the risks associated with real-life experimentation. This approach is valuable for testing theories, optimizing systems, and training professionals in a controlled environment, making it a crucial tool in both academic and practical applications.