The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application
Abstract
The General Motors Variation-Reduction Adviser is a knowledge system built on case-based reasoning principles that is currently in use in 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.
Cite
Text
Morgan et al. "The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application." AAAI Conference on Artificial Intelligence, 2004.Markdown
[Morgan et al. "The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/morgan2004aaai-general/)BibTeX
@inproceedings{morgan2004aaai-general,
title = {{The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application}},
author = {Morgan, Alexander P. and Cafeo, John A. and Godden, Kurt and Lesperance, Ronald M. and Simon, Andrea M. and McGuinness, Deborah L. and Benedict, James L.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2004},
pages = {777-784},
url = {https://mlanthology.org/aaai/2004/morgan2004aaai-general/}
}