Explain Forward Chaining Systems and Backward Chaining Systans with a suitable examplefor each.

Forward Chaining and Backward Chaining are two inference mechanisms used in artificial intelligence, particularly in rule-based expert systems. These systems are designed to derive conclusions from known facts or premises using predefined rules.

Forward Chaining is a data-driven approach, where the system starts with known facts and applies inference rules to derive new facts or conclusions. It begins with available information and moves ______ ______ ______ ______ ____ ____ __________ ___ ____ _________.
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