Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
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;
