Machine Learning for Architectural Design

Practices and Infrastructure

Martin Tamke, Paul Nicholas, Mateusz Zwierzycki

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Resumé

In this article, we propose that new architectural design practices might be based on machine learning approaches
to better leverage data-rich environments and workflows. Through reference to recent architectural research, we
describe how the application of machine learning can occur throughout the design and fabrication process, to develop
varied relations between design, performance and learning. The impact of machine learning on architectural practices
with performance-based design and fabrication is assessed in two cases by the authors. We then summarise what we
perceive as current limits to a more widespread application and conclude by providing an outlook and direction for
future research for machine learning in architectural design practice.
OriginalsprogEngelsk
Titel International Journal of Architectural Computing : Complex Modelling
Antal sider10
Publikationsdato2018
Sider123-143
DOI
StatusUdgivet - 2018

Kunstnerisk udviklingsvirksomhed (KUV)

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Citer dette

Tamke, M., Nicholas, P., & Zwierzycki, M. (2018). Machine Learning for Architectural Design: Practices and Infrastructure. I International Journal of Architectural Computing: Complex Modelling (s. 123-143) https://doi.org/10.1177/1478077118778580
Tamke, Martin ; Nicholas, Paul ; Zwierzycki, Mateusz. / Machine Learning for Architectural Design : Practices and Infrastructure. International Journal of Architectural Computing: Complex Modelling. 2018. s. 123-143
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Tamke, M, Nicholas, P & Zwierzycki, M 2018, Machine Learning for Architectural Design: Practices and Infrastructure. i International Journal of Architectural Computing: Complex Modelling. s. 123-143. https://doi.org/10.1177/1478077118778580

Machine Learning for Architectural Design : Practices and Infrastructure. / Tamke, Martin; Nicholas, Paul; Zwierzycki, Mateusz.

International Journal of Architectural Computing: Complex Modelling. 2018. s. 123-143.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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Tamke M, Nicholas P, Zwierzycki M. Machine Learning for Architectural Design: Practices and Infrastructure. I International Journal of Architectural Computing: Complex Modelling. 2018. s. 123-143 https://doi.org/10.1177/1478077118778580