Explain the difference between Forward and Backward Chaining. Under which situation which mechanism is best to use, for a given set of problems?

Forward chaining and backward chaining are two fundamental reasoning strategies used in Artificial Intelligence (AI) and knowledge management. They represent different approaches to problem-solving and inference within rule-based systems.

Forward Chaining

Forward chaining is a data-driven reasoning method. It starts from known facts and applies inference rules to extract more data until it reaches a conclusion or a goal.

• Mechanism:

  1. The system begins with a set of initial facts.
  2. It matches these facts against the left-hand side (conditions) of rules in a rule base.
  3. When the conditions are satisfied, the rule fires, and its right-hand side (conclusion or action) is executed.
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