Was (wer) ist Expert Systems - definition

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

Expert system

In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert.

https://en.wikipedia.org/wiki/Expert_system

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.

Wikipedia

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.

https://en.wikipedia.org/wiki/Expert system

Aussprachebeispiele für Expert Systems

1. You build up these expert systems,

ted-talks_2243_NickBostrom_2015-320k

2. enabled the back end expert systems

Click Here to Kill Everybody _ Bruce Schneier _ Talks at Google

3. the best expert systems, notably those

Development - A Very Short Introduction _ Professor Ian Goldin _ Talks at Google

4. Ed Feigenbaum was called the "Father of expert systems.”

How the E-Memory Revolution Changes Everything _ Gordon Bell & Jim Gemmell _ Talks at Google

5. in rule-based expert systems, as they were known in medicine.

The Future of the Professions _ Richard and Daniel Susskind _ Talks at Google

Beispiele aus Textkorpus für Expert Systems

1. He and coauthor Jean Boivin concluded in the 2001 paper that man can outperform so–called expert systems.

2. For many years Milne was an active member of the British Computer Societys expert systems specialist group, chairing conferences and acting as a mentor to new IT entrepreneurs.