FREE online courses on Expert Systems - Expert System Features

 

There are a number of features which are commonly used in expert systems. Some shells provide most of these features, and others just a few. Customized shells provide the features which are best suited for the particular problem. The major features covered in this course are:

 

Goal driven reasoning or backward chaining - an inference technique which uses IF THEN rules to repetitively break a goal into smaller sub-goals which are easier to prove;

Coping with uncertainty - the ability of the system to reason with rules and data which are not precisely known;

Data driven reasoning or forward chaining - an inference technique which uses IF THEN rules to deduce a problem solution from initial data;

Data representation - the way in which the problem specific data in the system is stored and accessed;

User interface - that portion of the code which creates an easy to use system;

Explanations - the ability of the system to explain the reasoning process that it used to reach a recommendation.