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Rethinking Computer-Aided Architectural Design (CAAD) - From Generative Algorithms and Architectural Intelligence to Environmental Design and Ambient Intelligence
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-1790-0254
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-4534-921X
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-4422-5223
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).
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2022 (English)In: Computer-Aided Architectural Design: Design Imperatives: The Future Is Now / [ed] Gerber, D Pantazis, E Bogosian, B Nahmad, A Miltiadis, C, Springer Nature , 2022, Vol. 1465, p. 62-83Conference paper, Published paper (Refereed)
Abstract [en]

Computer-Aided Architectural Design (CAAD) finds its historical precedents in technological enthusiasm for generative algorithms and architectural intelligence. Current developments in Artificial Intelligence (AI) and paradigms in Machine Learning (ML) bring new opportunities for creating innovative digital architectural tools, but in practice this is not happening. CAAD enthusiasts revisit generative algorithms, while professional architects and urban designers remain reluctant to use software that automatically generates architecture and cities. This paper looks at the history of CAAD and digital tools for Computer Aided Design (CAD), Building Information Modeling (BIM) and Geographic Information Systems (GIS) in order to reflect on the role of AI in future digital tools and professional practices. Architects and urban designers have diagrammatic knowledge and work with design problems on symbolic level. The digital tools gradually evolved from CAD to BIM software with symbolical architectural elements. The BIM software works like CAAD (CAD systems for Architects) or digital board for drawing and delivers plans, sections and elevations, but without AI. AI has the capability to process data and interact with designers. The AI in future digital tools for CAAD and Computer-Aided Urban Design (CAUD) can link to big data and develop ambient intelligence. Architects and urban designers can harness the benefits of analytical ambient intelligent AIs in creating environmental designs, not only for shaping buildings in isolated virtual cubicles. However there is a need to prepare frameworks for communication between AIs and professional designers. If the cities of the future integrate spatially analytical AI, are to be made smart or even ambient intelligent, AI should be applied to improving the lives of inhabitants and help with their daily living and sustainability.

Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 1465, p. 62-83
Series
Communications in Computer and Information Science, ISSN 1865-0929
Keywords [en]
Artificial Intelligence (AI), Computer-Aided Architectural Design (CAAD), Architectural intelligence, Generative algorithms, Environmental design, Ambient intelligence
National Category
Architecture Architectural Engineering Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-312194DOI: 10.1007/978-981-19-1280-1_5ISI: 000787752600005Scopus ID: 2-s2.0-85127649084OAI: oai:DiVA.org:kth-312194DiVA, id: diva2:1658833
Conference
19th International Conference on Computer-Aided Architectural Design (CAAD) - Design Imperatives - The Future is Now, JUL 16-18, 2021, Univ So Calif, Viterbi Sch Engn, ELECTR NETWORK
Note

QC 20220518

Available from: 2022-05-18 Created: 2022-05-18 Last updated: 2022-06-25Bibliographically approved

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Stojanovski, TodorZhang, HuiFrid, EmmaChhatre, KiranPeters, Christopher

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