Mechanistic models are mathematical representations that describe how systems operate based on their underlying processes and interactions. These models break down complex phenomena into simpler components, allowing researchers to understand the relationships between different variables. They are commonly used in fields like biology, engineering, and economics to predict outcomes and behaviors. These models rely on established scientific principles and empirical data to simulate real-world scenarios. By incorporating factors such as forces, energy, and feedback loops, mechanistic models help scientists and engineers design experiments, optimize systems, and make informed decisions based on predicted results.