In the context of simulation, what does the term 'model' entail?

The term 'model' in the context of simulation encompasses tools that replicate real-world processes or systems to understand and analyze behaviors and outcomes. This definition includes emulators and prototypes, which serve as practical representations of processes or equipment. Emulators mimic the functionality of a system to create a learning environment without the need for the actual system, while prototypes are early samples or models building towards the final product, providing insight into its development.

This broad view allows for the exploration of simulation in various contexts, such as in healthcare training, where models can be used to simulate clinical scenarios for practice and assessment. Models facilitate learning by providing realistic representations that allow individuals to engage with scenarios they may confront in their professional roles. Therefore, the correct understanding of 'model' encompasses both theoretical designs and practical applications, aligning it closely with emulators and prototypes in simulation settings.