The production rule comprises of a set of rule and a sequence of steps.
A production rule in the context of artificial intelligence typically consists of two main components:
- Condition: This represents the antecedent or the “if” part of the rule. It specifies the conditions under which the rule is applicable or triggered.
- Action: This represents the consequent or the “then” part of the rule. It specifies the actions to be taken if the conditions specified in the condition part are met.
In summary, a production rule consists of a condition that triggers a specific action when satisfied. These rules are fundamental components of expert systems, rule-based systems, and other AI approaches that use a knowledge representation framework based on rules.