For the following exercises, you will need to use the same set of facts several times. Rather than type them in repeatedly, you should use the deffacts structure. This is a way of specifying facts which are recreated every time a (reset) is executed. For example, the code
Will assert three facts onto the database every time the system is reset. Once they are asserted, the facts are the same as any others - they can be retracted or used in rule patterns - but even if they are retracted they will reappear after a (reset). Below is the list of facts you will need to use - use the CLIPS editor to enter them in a deffacts structure then reset CLIPS and look at the fact list to check that they are present.
(animal dog) (animal cat) (animal duck) (animal turtle) (warm-blooded dog) (warm-blooded cat) (warm-blooded duck) (lays-eggs duck) (lays-eggs turtle) (child-of dog puppy) (child-of cat kitten) (child-of turtle hatchling)
So far, the patterns used to match rules against facts have been very simple and rather restrictive. Each pattern has matched one specific fact. By using wildcards, it is possible to make rules match multiple facts, executing their actions repeatedly. For instance, the rule:
(defrule animal (animal ?) => (printout t "animal found" crlf))
Produces the following results when run:
Which shows that it has triggered four times, once for each fact matching the (animal ?) pattern. In this pattern, the ? symbol is a wildcard. It will match any symbol. You can use as many wildcards as you like in a pattern, but the first symbol may not be one. So (child-of ? ?) is legal and will match four facts, but (? ? hatchling) is illegal.
Simple wildcards are only mildly useful. Variables make them indispensable. If we use something like ?var instead of ? on its own, we can use the value of ?var each time the rule is fired. Try this example:
(printout t ?name " found" crlf))
This will produce the following results:
The rule has matched four facts, and each time the variable ?name has taken the value of the symbol it represents in the pattern, so that in the action part of the rule it can be printed. The real power of this feature is apparent when two or more patterns are used, as in the next example:
(defrule mammal (animal ?name) (warm-blooded ?name) (not (lays-eggs ?name)) => (assert (mammal ?name)) (printout t ?name " is a mammal" crlf))
You may notice the not function sneaked in there. The purpose of this should be self-evident. This rule gives the results
cat is a mammal
dog is a mammal
When you are satisfied that you understand how this works, try the next step:
(defrule mammal2 (mammal ?name) (child-of ?name ?young) => (assert (mammal ?young)) (printout t ?young " is a mammal" crlf))
After you have run this rule, look at the fact list
kitten is a mammal
puppy is a mammal
You will remember that in order to retract a fact, you need to know its fact-index. You can retract facts from within rules by binding them to variables, like this:
(defrule remove-mammals ?fact <- (mammal ?) => (printout t "retracting " ?fact crlf) (retract ?fact))
In the pattern part of this rule, the variable ?fact is given the fact index of each fact matching the pattern (mammal ?) in turn. That's what the leftwards arrow (<-) symbol means. When you run it, this is what happens (the fact numbers may be different):
All the mammal facts have been retracted.
You've already seen that two or more patterns in a rule are automatically connected with a logical AND, which means that both must be true for the rule to fire. You've also seen the not function, which leaves OR as the only boolean function missing for pattern specification. CLIPS has an or function, which is used as shown:
(defrule take-umbrella (or (weather raining) (weather snowing)) => (assert (umbrella required)))
Which means "if it is raining or it is snowing, then take an umbrella". Notice the way the or comes before the two arguments, rather than between them. this is known as prefix notation, and all CLIPS operators work this way. For example, to express a sum of two numbers in most computer languages, you would use something like 5 + 7 (this is known as infix notation). In CLIPS, the expression would be written (+ 5 7). Examine the following examples which show the addition, subtraction, multiplication and division operators:
CLIPS>(+ 5 7) 12 CLIPS>(- 5 7) -2 CLIPS>(* 5 7) 35 CLIPS>(/ 5 7) 0.7142857142857143 CLIPS>
Rewrite the expression 10+4*19-35/12 in CLIPS notation and verify that you get the result 83.0833.
CLIPS gets information from the user by means of the (read) function. Wherever (read) is encountered, the program waits for the user to type something in, then substitutes that response. To demonstrate this, type (assert (user-input (read))) at the CLIPS prompt. After you press return, you'll need to type something else (anything) before the command will complete. When you look at the facts, you'll see a new fact with your input as the second item. Try the rule
(defrule what-is-child (animal ?name) (not (child-of ?name ?)) => (printout t "What do you call the child of a " ?name "?") (assert (child-of ?name (read))))
When you run it, the system will now prompt you for the name of the young of any animal it doesn't know about. It will use the data you enter to assert a fact, which could then be used by other rules. In the car diagnostic example of the previous tutorial, you could have used a rule such as
(defrule are-lights-working (not (lights-working ?)) => (printout t "Are the car's lights working (yes or no)?") (assert (lights-working (read))))
Modify the car diagnostic system developed in tutorial 1 so that (a) it asks the user for the required information and (b) once it has reached a diagnosis and displayed it, it removes all the user's data and prepares itself to run again, without using the (reset) command.
Write a program which contains knowledge about a few members of your immediate family, so that on entering the name of someone, it will list the relationships (mother, father, uncle, son...) of each of the other members to that person. Limit the data you enter to three categories - (child-of person1 person2), (married-to person1 person2) and (male person) or (female person). This should give enough information to deduce more complex relationsships.