expert system


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expert system,

a computer system or program that uses artificial intelligenceartificial intelligence
(AI), the use of computers to model the behavioral aspects of human reasoning and learning. Research in AI is concentrated in some half-dozen areas.
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 techniques to solve problems that ordinarily require a knowledgeable human. The method used to construct such systems, knowledge engineering, extracts a set of rules and data from an expert or experts through extensive questioning. This material is then organized in a format suitable for representation in a computer and a set of tools for inquiry, manipulation, and response is applied. While such systems do not often replace the human experts, they can serve as useful adjuncts or assistants. Expert systems have been applied to chemistry, geology, genetic engineering, medicine, and pharmacology.

expert system

[′ek‚spərt ‚sis·təm]
(computer science)
A computer system composed of algorithms that perform a specialized, usually difficult professional task at the level of (or sometimes beyond the level 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.

expert system

An artificial intelligence (AI) application that uses a knowledge base of human expertise for problem solving. Its success is based on the quality of the data and rules obtained from the human expert. In practice, expert systems perform both below and above that of a human.

The expert system derives its answers by running the knowledge base through an inference engine, which is software that interacts with the user and processes the results from the rules and data in the knowledge base.

Examples are medical diagnosis, equipment repair, investment analysis, financial, estate and insurance planning, vehicle routing, contract bidding, production control and training. See chatbot, virtual assistant, AI and EPSS.


Expert System
References in periodicals archive ?
Furthermore, water addition to the ball mill or the cyclone underflow (control being based on a model calculation of the ball mill slurry density) resulted in improved grinding efficiency over that achieved without the expert system.
Business insights: an expert system for strategic analysis", Planning Review, Vol.
We saw how well the DataHub transported OPC data across the network, so we thought it could help us connect to our grinding and flotation expert systems," said Sr.
An expert system is based on 2 distinct and complementary components :
This section describes the steps required to design a LCMS expert system shown in Figure5.
The medical fuzzy expert system simulates the manner of expert and it is designed and developed in such a way that patient can use it himself.
To use the expert system, a Web page that loads the applet and identifies the knowledge base is needed.
The new field of Expert Systems as a subset of Artificial Intelligence was, and still is, a great way to capture expert knowledge of complicated procedures and present it to the user in an easy-to-follow manner to create a consistent and high-quality planning process.
Comparing the presence to the absence of the expert system, participants selecting performance-contingent (but not fixed pay) contracts significantly increased accuracy, suggesting that the expert system is more effective in the presence of performance-contingent compensation contracts.
Some of those applications include speech recognition, autonomous guided vehicles, vision, robotic and machine tool control, planning and scheduling systems, and too-numerous-to-count domain-specific expert systems.
The inference engine of the expert system processes user input data and matches it with the knowledge and experience base.
Although expert systems began as stand-alone computer programs, large public agencies are integrating their expert systems into their information data bases, and thus users may not even recognize their expert system as such (Hedberg, 1995).

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