Error-driven learning

Error-driven learning is a way that a computer can learn new things by making mistakes and trying again. It's like when you’re learning something new. You make mistakes, learn from them, and try again. That’s how computers can learn too. Computers try one thing, it doesn't work, then it makes a mistake and tries something else. It keeps trying different things until it gets it right.