Expert system consists of 4 major parts
1. user interface
2. knowledge base
3. inference engine
4. development engine
(a) Interface: The user interface enables the user to enter instructions & information into the expert system and also to receive information from it. The instructions specify the parameters that guide the expert system through its reasoning process. The information is in the form of value assigned to certain values. For example. For online blinds store, they ask which product they want- vertical blinds or roman shades, which size they want etc. Another example is Instant Life Insurance Rates company, who are providing Life Insurance Quotes online, they ask their customer to enter their certain details when they are applying for term life insurance.
1. Expert system inputs: The user can use 4 methods for input purposes : menus, commands, natural language and customized interfaces.
2. Expert system outputs : Expert systems are designed to recommend solutions. These solutions are supplemented by explanations. There are two types of explanations : Explanation of questions and Explanation of problem solution.
i) Explanation of questions: The manager may desire explanations while the expert system performs its reasoning. Perhaps the expert system will prompt the manager to enter some information. The manager asks why the information is needed, and the expert system provides an explanation.
ii) Explanation of problem solution: After the export system provides a problem solution, the manager can ask for an explanation of how it was reached. The expert will display each of the reasoning steps leading to the solution.
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