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Books : The General Motors Variation-Reduction Adviser: deployment issues for an AI application.: An article from: AI MagazineIn association with Amazon.comby: Alexander P. Morgan, John A. Cafeo, Kurt Godden, Ronald M. Lesperance, Andrea M. Simon, Deborah L. McGuinness, James L. Benedict  Availability: Available for download now
Format: HTML Label: Thomson Gale Manufacturer: Thomson Gale Number Of Pages: 22 Publication Date: September 22, 2005 Publisher: Thomson Gale Release Date: October 17, 2005 Studio: Thomson Gale Editorial Review: Product Description: This digital document is an article from AI Magazine, published by Thomson Gale on September 22, 2005. The length of the article is 6461 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser. From the author: The General 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 domain-specific ontologies. Citation Details Title: The General Motors Variation-Reduction Adviser: deployment issues for an AI application. Author: Alexander P. Morgan Publication: AI Magazine (Magazine/Journal) Date: September 22, 2005 Publisher: Thomson Gale Volume: 26 Issue: 3 Page: 19(10) Distributed by Thomson Gale Browse for similar items by category:
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