Backward chaining

Backward chaining is an inference method used in artificial intelligence, particularly in the context of rule-based systems and expert systems. It is a reasoning technique that starts with a goal or a hypothesis and works backward to determine whether there is sufficient evidence or information to support that goal. ### How Backward Chaining Works: 1. **Goal Identification**: The process begins with a specific goal or conclusion that needs to be proved or verified.