Simulation And Modeling Questions
The key assumptions made in simulation and modeling are:
1. Stationarity: It is assumed that the system being modeled remains relatively unchanged over the course of the simulation. This assumption allows for the use of statistical techniques and simplifies the modeling process.
2. Independence: It is assumed that the events or variables being simulated are independent of each other. This assumption allows for the use of probability distributions and simplifies the modeling process.
3. Determinism: It is assumed that the behavior of the system being modeled can be determined with certainty. This assumption allows for the use of mathematical equations and simplifies the modeling process.
4. Homogeneity: It is assumed that the system being modeled is homogeneous, meaning that it is uniform and consistent throughout. This assumption allows for the use of generalizations and simplifies the modeling process.
5. Linearity: It is assumed that the relationships between variables in the system being modeled are linear. This assumption allows for the use of linear equations and simplifies the modeling process.
It is important to note that these assumptions may not always hold true in real-world scenarios, and their validity should be carefully considered when interpreting the results of a simulation or model.