Expert System

EXPERT SYSTEMS

One of the largest argona of applications of artificial intelligence is in unspoiled sytems, or knowledge leveld systems as they are often known. This type of system seeks to exploit the specialised skills or information held by of a group of people on specific areas. It can be panorama of as a computerised consulting service. It can also be called an information guidance sytem. much(prenominal) systems are used for prospecting medical diagnosis or as educational aids. They are also used in applied science and manufacture in the control of robots where they inter-relate with vision systems. The initial attempts to reach artificial intelligence to generalised problems made limited communicate as we have seen but it was soon realised that more(prenominal) significant progress could be made if the field of use up was restricted.

STRUCTURE

The internal structure of an expert system can be considered to consist of three parts:

the knowledge base ; the database; the observe interpreter.

This is analagous to the production system where we have

the tag of productions; the set of facts held as operative memory and a rule interpreter.

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The knowledge base holds the set of rules of induction that are used in reasoning.



almost of these systems use IF-THEN rules to represent knowledge. Typically systems can have from a few hundred to a few thousand rules.

The database gives the stage setting of the problem domain and is generally considered to be a set of useful facts. These are the facts that satisfy the setting part of the condition action rules as the IF THEN rules can be thought of.

The rule interpreter is often known as an inference engine and controls the knowledge base using the set of facts to arrive at even more facts. Communication with the sytem is ideally provided by a natural language interface. This enables a user to interact indelendently of the expert with the intelligent system.

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