Characteristics of an Expert System
Expert Systems are computer programs that store the factual and inferential knowledge of human experts in a narrow domain. It can assist and advise users, provide explanations, and inform the user at any point of the solution which hypothesis they are pursuing, why it has chosen a particular strategy and what conclusion has drawn so far. An expert system is an AI program that uses knowledge to solve problems that would normally require a human expert. It attempts to reproduce the performance of one or more human experts. The Characteristics of an Expert System are given below:
Characteristics of Expert System:
1. It reduces the cost of accessing information. It also allows the dissemination of information held by one or a small group of experts to less expensive people.
2. Knowledge in the expert system can be formalized, tested and validated.
3. It allows integration from different sources.
4. It uses symbolic knowledge representations.
5. The response time of an expert system should be adequate.
6. Increase the probability, frequency and consistency of making a good decision.
7. It helps distribute human expertise.
8. It permits dynamism through the modularity of structure.
A human expert is perishable but an artificial expert system is not, it is permanent. If there is one expert then the problem can’t be solved if that expert isn’t experienced. So, we take a group of experts as then the solution is more efficient. One expert system can use at different places at the same time. Expert Systems are tools of mass production. Emotions also do not affect experts’ systems.
In Nutshell, an expert system is like a tutor for someone interested in learning. It has a variety of applications such as – Medicine, engineering, geology, IT, basic and applied research, training, sales and marketing.