Definition
Modeling and Simulation (M&S) is the use of models (physical, mathematical, or logical representations of a system, entity, or process) to generate data as a basis for making decisions or to provide insight into the behavior of the system being modeled. It is a key tool in engineering, science, training, and analysis. For the curated simulation study guide, see Modeling and Simulation.
Why It Matters
Testing in the real world is often too expensive, too dangerous, or impossible (e.g., nuclear physics, space travel). M&S allows us to explore ‘what if’ scenarios safely and cheaply. Without it, innovation would grind to a halt under the weight of physical testing costs.
Core Concepts
- Model: An abstraction or representation of reality.
- Simulation: The execution of a model over time to study dynamic behavior.
# Example of a basic simulation time step
time = 0
dt = 0.01 # Time step
while time < end_time:
update_system_state(state, time, dt)
time += dt- Verification and Validation (V&V): Ensuring the model is built correctly (verification) and represents the real world accurately (validation).
- LVC Simulation: Live, Virtual, Constructive environments for training and analysis.
- Accreditation: Formal acceptance of a model for a specific use.