Title :
Overcoming the Christmas tree syndrome
Author_Institution :
CRIL, Univ. d´´Artois, Lens, France
Abstract :
We propose a new computational approach to logic-based systems that should reason in a fast but logically sound and complete manner about large-scale complex critical devices and systems that can exhibit unexpected faulty behaviors. The approach is original from at least two points of view. First, it makes use of local search techniques while preserving logical deductive completeness. Second, it proves experimentally efficient for very large knowledge bases thanks to new heuristics in the use of local search techniques
Keywords :
inference mechanisms; knowledge representation; nonmonotonic reasoning; search problems; Christmas tree syndrome; faulty behaviors; large-scale complex critical devices; local search techniques; logic-based systems; very large knowledge bases; Condition monitoring; Ear; Large-scale systems; Lenses; Logic devices; Read only memory;
Conference_Titel :
Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-0456-6
DOI :
10.1109/TAI.1999.809836