Applying knowledge compilation techniques to model-based reasoning

Author

Keller, Richard M.

Author_Institution

NASA Ames Res. Center, Moffett Field, CA, USA

Volume

6

Issue

2

fYear

1991

fDate

4/1/1991 12:00:00 AM

Firstpage

82

Lastpage

87

Abstract

The application of knowledge compilation techniques to a specialized class of knowledge-based systems known as model-based reasoning (MBR) systems is discussed. Knowledge compilation is defined and explained, and the motivation for applying knowledge compilation techniques to MBR systems, namely, to improve their run-time efficiency on tasks such as diagnosis, design, and simulation, is examined. As an example, a prototype knowledge compilation system capable of compiling both diagnosis and design rules from a general-purpose structure/behavior model of the reaction wheel assembly of NASA´s Hubble Space Telescope is considered. R. Davis´ criticisms (see proc. 1989 workshop on model-based reasoning, 11-27) and the author´s response are reviewed.<>

Keywords

knowledge based systems; knowledge engineering; design; diagnosis; knowledge compilation techniques; knowledge-based systems; model-based reasoning; simulation; Application software; Artificial intelligence; Context modeling; Inference mechanisms; Knowledge representation; Machine learning; NASA; Problem-solving; Software engineering; Software systems;

fLanguage

English

Journal_Title

IEEE Expert

Publisher

ieee

ISSN

0885-9000

Type

jour

DOI

10.1109/64.79715

Filename

79715