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| The general motors variation-reduction adviser: deployment issues for an ai application |
| Abstract | The General Motors Variation-Reduction Adv … The General Motors Variation-Reduction Adviser is a knowledge system built on case-based reasoning principles that is currently in use in over a dozen General Motors Assembly Centers. This paper 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 domain-specific ontologies. d search using domain-specific 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 | inproceedings + |
| Booktitle | Proceedings of the Innovative Applications of Artificial Intelligence + |
| Key | dblp:conf/aaai/morgancglsmb04 + |
| Modification dateThis property is a special property in this wiki. | 11 April 2009 23:03:57 + |
| Pages | 777-784 + |
| Paper url | http://www.aaai.org/Papers/IAAI/2004/IAAI04-002.pdf + |
| Source | http://dblp.uni-trier.de/rec/bibtex/conf/aaai/MorganCGLSMB04 + |
| Tag | Computer science + |
| Title | The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application + |
| Year | 2004 + |
| Categories | Conference Paper, Proceeding Paper, Publication |
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