Backward chaining is an inference method which implies going backward from a successful result to infer the chain of events, conditions, or decisions that had led to that outcome. It’s like retracing your family tree to explain why you look the way you do or exhibit the characteristics that distinguish you as a person.
Backward chaining uses deductive reasoning, a method of arriving at a conclusion after establishing premises that are assumed to be true. For example, if all persons are created equal and you are a person, then you were created equal.
Backward chaining is used in artificial intelligence applications for logic programming, reasoning, and behavior analysis. It’s part of a system that aims to teach robots how to infer and make logical conclusions.
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