Forward chaining is a method used in artificial intelligence and logic systems. It starts with known facts and applies rules to extract more data until a goal is reached. This approach is called "data ...

In AI, a form of reasoning that starts with the conclusion and works backward. The goal is broken into many subgoals or sub-subgoals which can be solved more easily. Known as top-down approach.

Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types of ...

Abstract Discovery proceeds in stages of construction, evaluation, and revision. Each of these stages is constrained by what is known or conjectured about what is being discovered. A new ...

Backward chaining is a method used to solve problems by starting with the end goal and working backwards. Instead of starting from available information, you begin with what you want to achieve and ...

In AI, a form of reasoning that starts with what is known and works toward a solution. Known as bottom-up approach. Contrast with backward chaining. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other ...