Expert System

Expert system is a system was used to replace the role of an expert in providing consulting services to leaders in the organization. Ordinary employer employs expert staff who have to-an-expert in a particular area, egin the fields of finance ,marketing ,healthcare ,field production machinery ,and so forth . When the expert is difficult to obtain because there is little or too busy with other work, it needs an expert system to replace its role in the organization.

When an expert system to be built, then a software developer (software developer) to work together with an expert, these developers will conduct a series of question-answer (knowledge acquisition) to gather knowledge bases (knowledge base) the expert. Knowledge bases are then transferred to the base-knowledge expert system in terms of facts and rules. Then the developer to build an inference engine (inference engine) which is the decision maker in an expert system, collect information from users via frequently asked questions, and compare this information with the base-knowledge, then decide what should be informed to the user based on the data / information given.

When a user requires information from an expert system, then the inference engine will ask a series of questions to be answered by the user via a user-interface (user interface). The answers collected by the inference engine is then used to find information from the base-knowledge, this information is then forwarded to the user. If users want to know more details about the information obtained, it can be clarified through the facilities of explanatory (explanation facility).

Examples of expert system dialogue with its users is as follows:

System: Hello, I'm an fruit-expert, please answer my question, yes or no.

System: Is the color green?
User: No

System: What color is reddish purple?
User: Yes

System: Is the stem creeping?
User: Yes

System: Does the small round shape?
User: Yes

System: The fruit that you refer to is WINE

In order for this questioning can take place better then this expert system must have a base-knowledge as follows:

Apples: - the color yellow or red

- the trunk is a tree
- its shape is round

Wine: - reddish purple color

- stem creeping
- small round

Orange: - The color orange

- the trunk is a tree
- its shape is round

When the system is doing the question and answer with the answer Yes Users will create a basis to examine the knowledge base, for example in the example above is the input data (reddish purple, creeping, small round) and this data is matched to the characteristics of wine, then the answer of the system are: WINE.