expert systems, applications - определение. Что такое expert systems, applications
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Что (кто) такое expert systems, applications - определение

COMPUTER SYSTEM THAT EMULATES THE DECISION-MAKING ABILITY OF A HUMAN EXPERT
Expert systems; Expert System; Expert sytem; Certainty factor; Expert Systems; Applications of expert systems; History of expert systems
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  • Symbolics 3640]] [[Lisp machine]]: an early (1984) platform for expert systems

Expert system         
In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert.
expert system         
<artificial intelligence> A computer program that contains a knowledge base and a set of algorithms or rules that infer new facts from knowledge and from incoming data. An expert system is an artificial intelligence application that uses a knowledge base of human expertise to aid in solving problems. The degree of problem solving is based on the quality of the data and rules obtained from the human expert. Expert systems are designed to perform at a human expert level. In practice, they will perform both well below and well above that of an individual expert. The expert system derives its answers by running the knowledge base through an inference engine, a software program that interacts with the user and processes the results from the rules and data in the knowledge base. Expert systems are used in applications such as medical diagnosis, equipment repair, investment analysis, financial, estate and insurance planning, route scheduling for delivery vehicles, contract bidding, counseling for self-service customers, production control and training. [Difference from "knowledge-based system"?] (1996-05-29)
expert system         
¦ noun Computing a piece of software which uses databases of expert knowledge to offer advice or make decisions.

Википедия

Expert system

In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code. 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 artificial intelligence (AI) software. An expert system is divided into two subsystems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging abilities.