Definition

A simulation is a digital setup that copies real-life situations. It lets AI try things, make mistakes, and learn in a safe space. This helps the AI improve without needing to test in the real world first.

Example

“Self-driving cars use simulations to practice driving without being on real roads.”

How It’s Used in AI

Simulations are used to train robots, test self-driving cars, and teach AIs how to play games or fly drones. They're helpful when real-world testing is too risky or expensive. Many AI models are trained in thousands of virtual trials before being used in real life.

Brief History

Simulations were first used in science and engineering before becoming popular in AI. Today, they're a key part of training advanced systems without needing real-world testing at every step.

Key Tools or Models

Tools like OpenAI Gym, Unity ML-Agents, and CARLA are popular platforms for AI training simulations. They provide 3D environments for learning without real-world risk.

Pro Tip

The more realistic the simulation, the better the AI performs in real life. Always test in both simulated and real environments when possible.