Explanation based learning in artificial intelligence

Explanation-based learning in artificial intelligence is like teaching a computer to learn from examples and explanations, just like how you might teach a child. Instead of just showing the computer lots of data and expecting it to figure things out on its own, you also provide it with explanations or rules to help it understand why certain things are true or why certain decisions are made. This way, the computer can learn faster and make better decisions by understanding the underlying reasons behind them.