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Differentiate between forward chaining and backward chaining
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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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