In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning about knowledge, like an expert, and not by following the procedure of a developer as is the case in conventional programming. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of AI software.
An expert system has a unique structure, different from traditional programs. It is divided into two parts, one fixed, independent of the expert system: the inference engine, and one variable: the knowledge base. To run an expert system, the engine reasons about the knowledge base like a human. In the 80s a third part appeared: a dialog interface to communicate with users. This ability to conduct a conversation with users was later called "conversational".
Read more about Expert System: History, Advantages, Disadvantages, Application Field, Examples of Applications, Knowledge Engineering
Famous quotes containing the words expert and/or system:
“You may, or may not, have better child care instincts than your husband; but his can certainly be developed. If you don’t respect the natural parenting talents that each of you has, you may inadvertently cast the two of you into the skewed but complementary roles of the Expert and the Dumb Apprentice.”
—Jean Marzollo (20th century)
“He could jazz up the map-reading class by having a full-size color photograph of Betty Grable in a bathing suit, with a co- ordinate grid system laid over it. The instructor could point to different parts of her and say, “Give me the co-ordinates.”... The Major could see every unit in the Army using his idea.... Hot dog!”
—Norman Mailer (b. 1923)