Simulation
Definition
A simulation examines the behavior of a simplified model under defined assumptions.
A simulation represents selected properties of a real or planned system in a model to study behavior under assumptions.
Simply explained
You try out a process in a recreated world before testing it under real conditions.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A company simulates queues in service before changing shift schedules.
Limits and pitfalls
- The result is only as reliable as the model, assumptions, and input data; false precision is a common risk.
Origin & history
Simulations became a widespread analysis tool in the 20th century with operations research and digital computers.
Use in mid-sized companies
- Possible example: A company simulates queues in service before changing shift schedules.
Frequently asked questions
What does simulation mean?
A simulation represents selected properties of a real or planned system in a model to study behavior under assumptions. What should one watch out for? The result is only as reliable as the model, assumptions, and input data; false precision is a common risk.
Sources
- Guide for Verification and Validation in Computational Science and Engineering · NIST, Guide for Verification and Validation in Computational Science and Engineering
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
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