DocumentCode :
2706249
Title :
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
Link To Document :
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