What differentiates modeling from simulation?

The distinction between modeling and simulation is centered around their respective purposes and processes. Modeling involves creating a simplified representation of a system, which can include various elements and relationships that characterize the system in question. This model serves as a framework that encapsulates the essential features necessary for understanding or analyzing a phenomenon.

On the other hand, simulation takes this model and runs it through a series of scenarios, allowing users to manipulate variables and observe the outcomes over time. Essentially, simulation uses the model as a tool to explore how the system behaves under different conditions. By conducting a simulation, one can understand the dynamics and potential responses of the modeled system without having to delve into real-world experimentation, which might be impractical or impossible.

This process of creating representations through modeling and then utilizing those representations in simulations to run various scenarios helps in predicting and analyzing behaviors within complex systems. It allows researchers and analysts to explore hypothetical scenarios and glean insights into potential real-world applications.