Open AccessSelection of an Appropriate Domain for an Expert System
Author(s) -
Prerau David S.
Publication year - 1985
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v6i2.476
Subject(s) - expert system , subject matter expert , domain (mathematical analysis) , selection (genetic algorithm) , computer science , legal expert system , set (abstract data type) , process (computing) , task (project management) , rank (graph theory) , software engineering , artificial intelligence , systems engineering , engineering , mathematical analysis , mathematics , combinatorics , programming language , operating system
This article discusses the selection of the domain for a knowledge‐based expert system for a corporate application The selection of the domain is a critical task in an expert system development At the start of a project looking into the development of an expert system, the knowledge engineering project team must investigate one or several possible expert system domains They must decide whether the selected application(s) are best suited to solution by present expert system technology, or if there might be a better way (or, possibly, no way) to attack the problems. If there are several possibilities, the team must also rank the potential applications and select the best available To evaluate the potential of possible application domains, it has proved very useful to have a set of desired attributes for a good expert system domain. This article presents such a set of attributes The attribute set was developed as part of a major expert system development project at GTE Laboratories. It was used recurrently (and modified and expanded continually) throughout an extensive application domain evaluation and selection process