Expert
System
An expert system is a computer program that is designed to solve problems and make decisions in a way that is similar to how a human expert would. It is called an “expert” system because it is supposed to be able to perform tasks that would normally require a lot of knowledge or expertise.
For example, let’s say you have a computer program that is designed to help diagnose medical problems. This program might be an expert system, because it would need to have a lot of knowledge about different diseases and symptoms in order to make accurate diagnoses.
Expert systems are often used in fields where it is hard for humans to be experts in everything, such as medicine, engineering, and finance. They can be very useful because they can help us make better decisions and solve problems more quickly.
One way that expert systems work is by using “rules” that tell the computer what to do in different situations. For example, a medical expert system might have a rule that says “if a patient has a fever and a cough, they might have the flu.” It would then use this rule, along with other rules and information it has, to make a diagnosis.
Expert systems can be very useful, but they also have some limitations. They can only make decisions based on the knowledge and rules that they have been programmed with, so they might not be able to handle situations that are outside of their expertise. They also might not be able to adapt to new information or situations as easily as humans can.
An expert system is a computer program that is designed to solve problems and make decisions in a way that is similar to how a human expert would.
Expert systems can be used for many different things, such as diagnosing medical problems, helping with engineering designs, and making financial decisions.
Expert systems use “rules” that tell the computer what to do in different situations. They also have a lot of knowledge and information that they can use to help them make decisions.
Expert systems can be programmed with new rules and information, but they might not be able to learn and adapt to new situations as easily as humans can.