Explanation
Most
expert systems have explanation facilities that allow the user to ask questions
- why and how it reached some conclusion.
The
questions are answered by referring to the system goals, the rules being used,
and existing problem solving. The rules typically reflect empirical, or
"compiled" knowledge. They are codes of an expert's rules of thumb,
not the expert's deeper understanding.
Example :
Dialog
with an expert system designed to give advice on car problems.
System
Does the car start ?
User No.
System
Does the engine turn over ?
User Yes.
System Do
you smell gas ?
User Yes
System
Recommendation - Wait 5 minutes and try again.
User Why
?
System I
used the rule:
If not
start, and engine_turn_over, and smell_gas
Then
recommendation is 'Wait 5 minutes and try again'
User
Note :
The rule gives the correct advice for a flooded car, and knows the questions to
be ask to determine if the car is flooded, but it does not contain the
knowledge of what a flooded car is and why waiting will help.
Types of Explanation
There are
four types of explanations commonly used in expert systems.
Rule
trace reports on the progress of a consultation;
‡
Explanation of how the system reached to the given conclusion;
‡
Explanation of why the system did not give any conclusion.
Explanation
of why the system is asking a question;
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