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Text B: Expert system

An expert system is a computer program that uses a database of knowledge to draw conclusions. In other words, an expert system reasons.

Expert systems can explain their reasoning or suggested decisions, display intelligent behavior, manipulate symbolic information and draw con­clusions from complex relationships, and deal with uncertainty. They are not yet widely used; some are difficult to use, are limited to relatively narrow problems, cannot readily deal with mixed knowledge, present the possibility for error, cannot refine their own knowledge base, are difficult to maintain, and may have high development costs. Their use also raises legal and ethical concerns.

An expert system consists of a collection of integrated and related components, including a knowledge base, an inference engine, an expla­nation facility, a knowledge acquisition facility, and a user interface. The knowledge base con­tains all the relevant data, rules, and relation­ships used in the expert system. The rules are often composed of if-then statements, which are used for drawing conclusions. Fuzzy logic allows expert systems to incorporate facts and relation­ships into expert system knowledge bases that may be imprecise or unknown.

The explanation facility of an expert system allows the user to understand what rules were used in arriving at a decision. The knowledge acquisition facility helps the user add or update knowledge in the knowledge base. The user interface makes it eas­ier to develop and use the expert system

Mark the following statements as true or false.

1. An expert system doesn’t reason.

2. Expert systems can draw conclusions from complex relationships.

3. They can refine their own knowledge base.

4. The user cannot understand what rules were used in arriving at a decision.

5. The knowledge base contains all the relevant data, rules and relationships used in the expert system.

Put the letters in the following words into the correct order.

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