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An expert system is a type of artificial intelligence (AI) software that is designed to simulate the decision-making abilities of a human expert in a particular field or domain. Expert systems are based on the idea of capturing the knowledge and expertise of a human expert in a specific area and encoding it in a computer program, allowing the program to make decisions and solve problems in a way that is similar to a human expert.
Expert systems are typically composed of three main components: a knowledge base, an inference engine, and a user interface. The knowledge base contains the encoded expertise of the human expert, and it is used by the inference engine to make decisions and solve problems. The inference engine is responsible for using the knowledge in the knowledge base to reason about a problem and come up with a solution. The user interface is the interface through which users interact with the expert system, inputting data and receiving output.
Expert systems are used in a wide range of applications, including medical diagnosis, financial analysis, engineering design, and customer service. They can be used to quickly and accurately solve complex problems that would be time-consuming or difficult for a human to solve manually.
Wikipedia:
See also:
100 Best Expert System Videos | 100 Best GitHub: Expert System | Best ExpertMaker Videos | Conversational Expert