2016Unpublished venueRequires access

Expert Systems

Mircea Eremia, Kevin Tomsovic, Gheorghe Cârtină

Open publisher page 4 citations

Abstract

In terms of functionality, an 'expert system' can be defined as a program that relays on a bank of knowledge to perform certain specific tasks, which can be sometimes difficult, and are usually solved by the human expert in the field. The performances of an intelligent program depend primarily on the 'quality' of the knowledge base (KB) and the organization of the knowledge, which should allow the problem to be solved within an acceptable period. The part of the expert system, which performs the reasoning function, is called the 'inference engine (IE)'. This chapter considers the main characteristics that qualify a program as an expert system. Expert systems offer many advantages over a human expert. They contain these modules: the knowledge base, database, the IE, knowledge acquisition, and the software interfaces with the expert or application engineer, knowledge engineer, and user.

About this research paper

What this paper is about

In terms of functionality, an 'expert system' can be defined as a program that relays on a bank of knowledge to perform certain specific tasks, which can be sometimes difficult, and are usually solved by the human expert in the field. The performances of an intelligent program depend primarily on the 'quality' of the knowledge base (KB) and the organization of the knowledge, which should allow the problem to be solved within an acceptable period. The part of the expert system, which performs the reasoning function, is called the 'inference engine (IE)'. This chapter considers the main characteristics that qualify a program as an expert system. Expert systems offer many advantages over a human expert. They contain these modules: the knowledge base, database, the IE, knowledge acquisition, and the software interfaces with the expert or application engineer, knowledge engineer, and user.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In terms of functionality, an 'expert system' can be defined as a program that relays on a bank of knowledge to perform certain specific tasks, which can be sometimes difficult, and are usually solved by the human expert in the field. The performances of an intelligent program depend primarily on the 'quality' of the knowledge base (KB) and the organization of the knowledge, which should allow the problem to be solved within an acceptable period. The part of the expert system, which performs the reasoning function, is called the 'inference engine (IE)'. This chapter considers the main characteristics that qualify a program as an expert system. Expert systems offer many advantages over a human expert. They contain these modules: the knowledge base, database, the IE, knowledge acquisition, and the software interfaces with the expert or application engineer, knowledge engineer, and user.

Key concepts: Expert system, Knowledge base, Legal expert system, Inference engine, Computer science, Subject-matter expert, Field (mathematics), Knowledge acquisition

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