Prolog is a logic programming language that offers a concise approach to modeling systems with minimal lines of code. This has benefits that extend beyond engineers. Non-engineering professionals, such as sales teams, can leverage Prolog's modeling capabilities to understand and navigate complex systems.
Assume that you are going to design customers' discount rules. You first come up with a customer should possess a member's card to be eligible for discounts and your boss has specified that each customer should receive the discount only once.
You model the rules in Prolog.
have_discount(X) :- have_members_card(X, yes), discount_received(X, no).
If your first customer, Tom, has member's card and hasn't received discounts ever, you can express it in Prolog,
have_discount(X) :- have_members_card(X, yes), discount_received(X, no).
have_members_card(tom, yes).
discount_received(tom, no).
Try to run it in your console.
swipl business_logic.pl
?- have_discount(tom).
true.
You finished the first rule implementation in Prolog.
If you need the rule to be expressed as natural sentences, ChatGPT helps you much.
You
have_discount(X) :- have_members_card(X, yes), discount_received(X, no).
Please translate the rule into English sentences.
ChatGPT
The rule "have_discount(X) :- have_members_card(X, yes), discount_received(X, no)" can be translated into English as follows:
"If a person (represented by 'X') has a membership card and has not yet received a discount, then they have a discount."
Hope you have a great time working with the Prolog programming language!
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