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Model Translation: Convert the conceptual model into a computer-based simulation. Verification and Validation : Ensure the model accurately represents the real-world system. Experimental Design : Plan the simulation experiments and scenarios to be tested.
A simulation is model is designed to arrive at a single specific numerical answer to a given problem. false. simulation typically requires a familiarity with statistics to evaluate the results. true. the verification process involves making sure that. the model is internally consistent and logical. the validation process involves making sure that.
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A mathematical-logical form of an existing or proposed system, called a simulation model, is constructed (art). Experiments are conducted with the model that generates numerical results (science). The model and experimental results are interpreted to draw conclusions about the system (art).
Lecture 2 - Modeling and Simulation • Model types: ODE, PDE, State Machines, Hybrid • Modeling approaches: – physics based (white box) – input-output models (black box) • Linear systems • Simulation • Modeling uncertainty
In the following, an introduction to the basic concepts of modelling and simulation is given. Figure 1 presents modelling and simulation concepts as introduced by Zeigler [Zei84, ZPK00]. Object is some entity in the Real World.
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