Expert System

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Definition: Expert System

Expert systems can be defined as the computer applications designed to solve complex problems in a particular field at the level of extraordinary intelligence and expertise of a human individual. Artificial intelligence that converts the expertise of human individual to a software code to solve queries fed to automated systems. For example: there are expert systems to make financial forecast or to diagnose human illness.

Some of the characteristics of expert system is that they are reliable, fast and highly responsive. They have the capability to solve problems in a particular field efficiently in a less time. The expert systems can advise, diagnose, explain, demonstrate, train, predict the output, interpret the output and can suggest alternative solutions for a problem.

ES has three components namely

1) Knowledge base: It contains domain specific knowledge which is required to analyse the problem and come up with a solution

2) Interface Engine: it is defined as the procedures and steps to come up with an accepted solution to a problem

3) User Interface: it can be defined as the interaction between the user and the expert system

Source: tutorialspoint

Some of the benefits of expert system are the less error rate, speed, steady results and reducing risk by eliminating the variability that occurs because of human component.



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