Title :
Advances in qualitative measurement interpretation
Author_Institution :
Hewlett-Packard Labs., Bristol, UK
Abstract :
Qualitative measurement interpretation (QMI) is an area of artificial intelligence concerned with generating an understanding of the behaviour of a system from a qualitative description of the monitored signals. K.D. Forbus (1986) presented a theory for qualitative measurement interpretation and described a domain independent algorithm based on Waltz filtering. The paper describes recent extensions of this work
Keywords :
artificial intelligence; expert systems; knowledge engineering; Waltz filtering; artificial intelligence; behaviour; domain independent algorithm; monitored signals; qualitative description; qualitative measurement interpretation;
Conference_Titel :
Qualitative Modelling in Diagnosis and Control, IEE Colloquium on
Conference_Location :
Edinburgh
