Toward representing management-domain knowledge

Guidelines for the application of artificial intelligence to management-domain problems are proposed. A tutorial highlighting the strengths and weaknesses of several popular knowledge representation techniques is presented. Matching the strengths of these techniques with the requirements of differen...

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Bibliographic Details
Published in:Decision Support Systems 1986-06, Vol.2 (2), p.159-172
Main Authors: Baldwin, Dirk, Kasper, George M.
Format: Article
Language:English
Subjects:
Artificial intelligence
Decision making
Decision support systems
Deep knowledge
Expert systems
Knowledge
Knowledge representation
Logic
Management decisions
Management information systems
Selection
Semantics
Surface knowledge
Techniques
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Summary:Guidelines for the application of artificial intelligence to management-domain problems are proposed. A tutorial highlighting the strengths and weaknesses of several popular knowledge representation techniques is presented. Matching the strengths of these techniques with the requirements of different management decision-making domains provides a basis for the proposed guidelines. Management areas for which current approaches to knowledge representation provide little support are also discussed.
ISSN:0167-9236
1873-5797
DOI:10.1016/0167-9236(86)90093-X