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.

This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

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

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References in periodicals archive

These modules represent the analysis process of expert system and its components are described below:

Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta

In the process of system operation, this knowledge and experience can be continuously increased and modified; the expert system to solve the problem is the real life of only the field experts to solve the problem.

The construction of English teachers' classroom teaching ability system based on artificial intelligence

Table 1 shows the comparison of fuzzy, intutuionistic fuzzy, and neutrosophic expert system and their ability to represent different uncertainty data types.

Neutrosophic logic approach for evaluating learning management systems

The expert that understands the necessity of using an expert system in his activity domain can obtain help from the knowledge engineer (IT specialist) because following discussions with him, som knowledge will be reformulated in a way that it can be applied on a computer.

Expert systems for automotive safety

To design an expert system, regardless of the application and its context, steps must be completed.

Planning macro strategies using fuzzy expert system in Iranian railways company

For developing the expert system, Microsoft Visual Basic.NET was used.

Developing a web-based advisory expert system for implementing traffic calming strategies

The research questions were as follows: what information is currently available on diagnostic expert systems in rheumatology, how do these systems work, what is their validity and their applicability in daily practice, and finally what is an optimal diagnostic expert system expected to be.

Computer-based diagnostic expert systems in rheumatology: where do we stand in 2014?

In the domain of pavement management, Kaur and Tekkedil (2000) developed a fuzzy expert system, which employs the information about the materials used, thickness of the flexible pavement layers, traffic characteristics, and road age to predict the pavement performance in the form of rut depth.

A diagnostic expert system to overcome construction problems in rigid highway pavement

Stanford University professor emeritus Edward Feigenbaum, known as "the father of expert systems," was named the IEEE Computer Society's 2013 Computer Pioneer Award recipient.

Edward Feigenbaum receives EEE computer society pioneer award

Researchers have explored every aspect of fuzzy philosophy and the studies reported on fuzzy expert systems in medical diagnosis covers wide spread area including the need, importance, potential and approaches for designing the expert systems for medical diagnosis.[3,4,10,13] Computer assisted applications for patient's diagnosis and treatment seems to be the more recent area of interest.[2,5,18,20,21] The Fuzzy Expert System has proved its usefulness significantly in the medical diagnosis for the quantitative analysis and qualitative evaluation of medical data, consequently achieving the correctness of results.

Design of fuzzy expert system for diagnosis of cardiac diseases

An expert system based on the statute will ask you questions about your specific situation and then provide answers concerning whether and how the law applies to you.

Serving justice with conversational law: digitized, semantic legal-expert systems will enable more people to access and understand the law