KADS: a methodology for developing large AI systems

Author

Born, Gary

Author_Institution

SD-Scicon, Camberley, UK

fYear

1990

fDate

8-10 May 1990

Firstpage

166

Lastpage

171

Abstract

The KADS methodology, which resulted from a very large project devoted to a methodology for developing AI systems, is discussed. KADS provides support for high-level analysis and design, including knowledge acquisition. It is supported by a set of development tools acting as a knowledge engineer´s workbench. The methodology itself is described, particularly its life-cycle model, model of expertise, interpretation models, and use of modality. Also described is how it has been used within SD-Scicon for system development. This has resulted in two useful systems based on AI techniques. Some future directions for KADS are indicated

Keywords

knowledge based systems; knowledge engineering; programming environments; software tools; AI techniques; KADS methodology; SD-Scicon; development tools; expertise; future directions; high-level analysis; interpretation models; knowledge acquisition; large AI systems; life-cycle model; modality; system development; very large project; Artificial intelligence; Collaboration; Engineering management; Europe; History; Knowledge acquisition; Knowledge engineering; Problem-solving; Production systems; Software engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

CompEuro '90. Proceedings of the 1990 IEEE International Conference on Computer Systems and Software Engineering

Conference_Location

Tel-Aviv

Print_ISBN

0-8186-2041-2

Type

conf

DOI

10.1109/CMPEUR.1990.113622

Filename

113622