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Special Issue: AI in Manufacturing: State of the Art
Journal article   Open access   Peer reviewed

Special Issue: AI in Manufacturing: State of the Art

WILLIAM C. Regli
Artificial intelligence for engineering design, analysis and manufacturing, v 14(4), pp 255-255
Sep 2000
url
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/BC6C2F578FF9E71DEF3F2DBAAF041AD0/S0890060400144002a.pdf/div-class-title-special-issue-ai-in-manufacturing-state-of-the-art-div.pdfView
Published, Version of Record (VoR) Open
url
https://doi.org/10.1017/S0890060400144002View
Published, Version of Record (VoR) Open

Abstract

Guest Editorial
The AAAI Special Interest Group on AI in Manufacturing (SIGMAN) organization represents a wide array of researchers addressing fundamental scientific problems that arise in engineering design and manufacturing. The human endeavor that is design and manufacturing is rich in basic problems for researchers in Artificial Intelligence. From process planning researchers who aim to augment the abilities of human process engineers, to those who employ agents and distributed AI to model and control the factory floor—AI has found one of its most fertile and challenging proving grounds in the manufacture of products.

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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Engineering, Manufacturing
Engineering, Multidisciplinary
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