What are Expert Systems?
An expert system is a computer system that mimics the knowledge and experience of a human expert. It aids us with information related to a specific topic. These systems can only exist in a field where a human expert already exists.
An expert system collects information and stores it in a knowledge base (the knowledge of an expert). It also consists of a rules base (a set of rules for expert reasoning) which is used by the inference engine to produce possible solutions to a problem. In addition the expert system explains the logical reasoning that it has used to come to a solution.
An expert system collects information and stores it in a knowledge base (the knowledge of an expert). It also consists of a rules base (a set of rules for expert reasoning) which is used by the inference engine to produce possible solutions to a problem. In addition the expert system explains the logical reasoning that it has used to come to a solution.
Data mining...
To create an expert system a knowledge engineer collects information from various sources such as databases and actual experts. This process is known as data mining as the knowledge engineer is extracting relevant and accurate knowledge and information while leaving out the irrelevant data.
User Interface...
The user interface is how the user communicates with the computer, giving it information it needs to help the user in her/his job. The interface usually displays a set of questions the user answers which are used by the inference engine to find appropriate solutions (the interface has a number of validation rules imposed in order to prevent the input of invalid responses to the system). The inference engine uses the rules base and a reasoning involving forward chaining and backward chaining .
