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Glossary

Simulation

A simulation is a world or situation recreated on a computer, in which you can try things out without real-world consequences.

A simulation is a situation recreated on a computer. You can try things out in it, repeat them and measure them without anything happening in the real world.

How does it work?

A simulation follows rules, for example from physics, to calculate what happens. A robot arm picking up a block, a car braking: the computer calculates how everything moves and shows it. The advantage is that you can repeat an experiment as often as you like, faster than in reality, and that you have precise control over the conditions. That makes a simulation useful for training and testing AI.

Why it matters

A robot often learns a task by looking at examples, and making those examples takes a lot of time. The Allen Institute for AI (Ai2) therefore built ToyBlocks, a simulation with a robot arm that moves blocks around on a table. The computer makes the examples itself, without a person controlling the robot. Hundreds of plans run at the same time on a single graphics card, up to 24 times as fast as in reality.

Because the world is simple, researchers can change the training data and repeat a test to see what makes a robot go wrong. According to Ai2, the first tests with three well-known robot models went badly as soon as the situation differed slightly from the practice runs. A full world model goes a step further, but even a simple simulation like this one helps to understand what a robot can really do.

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