What is forward chaining in a rule-based AI system?

Options

  • A. A data-driven inference method that starts with known facts and applies rules to derive new facts
  • B. A method that starts only with a goal and works backward
  • C. A method that randomly selects rules without using facts
  • D. More than one of the above
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. A data-driven inference method that starts with known facts and applies rules to derive new facts

Detailed Explanation

Forward chaining is a data-driven inference technique. It starts with known facts and repeatedly applies applicable rules to derive new facts until a conclusion or goal is reached.

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