In a rule-based system, procedural domain knowledge is in the form of: A. production rules B. rule interpreters C. meta-rules D. control rules E. None of the above

production rules
rule interpreters
meta-rules
control rules E. None of the above

The correct answer is: A. production rules.

Production rules are a type of rule-based system that is used to represent knowledge in a way that is easy for computers to understand. They are made up of two parts: a condition and an action. The condition is a statement that describes the state of the world, and the action is a statement that describes what should be done if the condition is true.

For example, a production rule for a chess game might be:

  • If the current position of the board is as follows:
    • The white king is in check.
    • The white bishop is on the square e2.
    • The white rook is on the square g1.
  • Then the white player should move the bishop to the square g2.

Production rules can be used to represent a wide variety of knowledge, including facts, procedures, and heuristics. They are a powerful tool for representing knowledge in a way that is easy for computers to understand and use.

Option B, rule interpreters, are programs that interpret production rules. They take the rules as input and produce a sequence of actions that can be executed by the computer.

Option C, meta-rules, are rules that control the application of other rules. They can be used to specify the order in which rules are applied, to prioritize rules, and to prevent rules from being applied in certain situations.

Option D, control rules, are rules that control the flow of execution in a rule-based system. They can be used to specify which rule to apply next, to branch to different parts of the system, and to loop back to previous parts of the system.

Option E, None of the above, is incorrect because it does not represent a type of rule-based system.