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| The general motors variation-reduction adviser |
| Abstract | TheGeneral Motors Variation-Reduction Advi … TheGeneral Motors Variation-Reduction Adviser is a knowledge system built on case-based reasoning principles that is currently in use in eighteen General Motors asssembly centers. This article reviews the overall characteristics of the system and then focuses on various AI elements critical to support its deployment to a production system. A key AI enabler is ontology-guided search using domainspecific ontologies. ed search using domainspecific ontologies. |
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| Author | Alexander P. Morgan +, John A. Cafeo +, Kurt Godden +, Ronald M. Lesperance +, Andrea M. Simon +, Deborah L. McGuinness +, James L. Benedict + |
| Bibtype | article + |
| Journal | AI Magazine + |
| Key | dblp:journals/aim/morgancglsmb05 + |
| Modification dateThis property is a special property in this wiki. | 12 April 2009 21:27:26 + |
| Number | 3 + |
| Pages | 19-28 + |
| Paper url | http://www.aaai.org/ojs/index.php/aimagazine/article/view/1822/1720 + |
| Source | http://dblp.uni-trier.de/rec/bibtex/journals/aim/MorganCGLSMB05 + |
| Tag | Computer science + |
| Title | The General Motors Variation-Reduction Adviser + |
| Volume | 26 + |
| Year | 2005 + |
| Categories | Journal Paper, Publication |
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