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        Hybrid Intelligence

        Proceedings of the 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022)

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        Contributor(s)
        Yuan, Philip F. (editor)
        Chai, Hua (editor)
        Yan, Chao (editor)
        Li, Keke (editor)
        Sun, Tongyue (editor)
        Language
        English
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        Abstract
        This open access book is a compilation of selected papers from DigitalFUTURES 2022—The 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022). The work focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers encounter new ideas about intelligence in architecture.
        URI
        https://library.oapen.org/handle/20.500.12657/62444
        Keywords
        History, Theory and Critics of Building Technology; Performance-based Design; Fabrication and Construction; Data Mining and Visualizing; Post-humanist Intelligence; AI in Architecture
        DOI
        10.1007/978-981-19-8637-6
        ISBN
        9789811986376, 9789811986376, 9789811986369
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Singapore, 2023
        Imprint
        Springer Nature Singapore
        Series
        Computational Design and Robotic Fabrication,
        Classification
        Automatic control engineering
        Computer-aided design (CAD)
        Artificial intelligence
        Pages
        538
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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