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  • Forward chaining starts from the known facts and move forward by applying inference rules to extract more data, until it reaches a goal, while backward chaining starts from the goal, move backward by using inference rules to determine the facts that satisfy or led to the goal.
  • Forward chaining is known as the down-up approach, while backward chaining is known as a top-down approach.
  • Forward chaining uses breadth-first search strategy, whereas backward chaining uses depth-first search strategy.
  • Forward chaining can be used for tasks such as planning, design process monitoring, diagnosis, and classification, while backward chaining can be used for classification and diagnosis functions.

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