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oapen-20.500.12657-521892022-01-04T02:46:16Z EG-ICE 2021 Workshop on Intelligent Computing in Engineering Abualdenien, Jimmy Borrmann, André Ungureanu, Lucian-Constantin Hartmann, Timo advanced computing life-cycle design support BIM advanced computing in engineering engineering ontologies engineering optimisation bic Book Industry Communication::T Technology, engineering, agriculture::TN Civil engineering, surveying & building The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. 2022-01-03T11:02:33Z 2022-01-03T11:02:33Z 2021 book ONIX_20220103_9783798332119_9 9783798332119 9783798332126 https://library.oapen.org/handle/20.500.12657/52189 eng application/pdf Attribution 4.0 International EG-ICE_2021.pdf https://verlag.tu-berlin.de/produkt/978-3-7983-3211-9/ 10.14279/depositonce-12021 10.14279/depositonce-12021 Universitätsverlag der Technischen Universität Berlin 9783798332119 9783798332126 610 Berlin open access
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The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways.
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