Automated compositions: artificial intelligence aided conceptual design explorations in architecture
Authors
Milošević, Jelena
Đukanović, Ljiljana

Živković, Milijana
Žujović, Maša
Gavrilović, Marko
Contributors
Bajšanski, IvanaJovanović, Marko
Conference object (Published version)
Metadata
Show full item recordAbstract
The paper focuses on the challenges of the relationship between architecture and artificial intelligence
(AI), in particular, the potential of this technology to support architects' creative design processes in the
form of augmented intelligence. Conceptual architectural design is an intricate process that produces
new concepts by using prior knowledge, experience, intuition, and creativity. Artificial intelligence should
not be used during the conceptual design stage with the goal of solving a problem in a predefined search
space. Instead, potential solutions and design requirements should be explored using this technology.
The suggested approach avoids preconceived solutions and psychological inertia attributed to the designer's finite experience. The paper gives a brief critical review of the application of AI in an architectural context, especially in conceptual design. The review emphasizes changes in the design process brought about by cutting-edge strategies, methods, and ...tools based on AI. Further, research by design is presented to illustrate the possible use of biologically inspired algorithms in producing innovative design proposals. The applied strategy in architectural design production was based on the human-machine interface and interaction (HMI&I). Symbiotic human-machine interaction in the design process facilitates the emergence of automated compositions that display novel and unexpected forms, detail, materiality, structure, functionality, and aesthetics. This study allowed us to explore peculiar architectural design methodologies and the potential of digitally intelligent architecture.
Keywords:
architectural design / generative design / design strategies / augmented intelligence / bioinspired computing / human-machine interface and interactionSource:
Proceedings: Geometry, graphics and design in the digital age, The 9th International Scientific Conference on Geometry and Graphics MoNGeometrija 2023, 2023, 103-115Publisher:
- Faculty of Technical Sciences, University of Novi Sad
- Serbian Society for Geometry and Graphics SUGIG
Institution/Community
Arhitektonski fakultetTY - CONF AU - Milošević, Jelena AU - Đukanović, Ljiljana AU - Živković, Milijana AU - Žujović, Maša AU - Gavrilović, Marko PY - 2023 UR - https://raf.arh.bg.ac.rs/handle/123456789/1282 AB - The paper focuses on the challenges of the relationship between architecture and artificial intelligence (AI), in particular, the potential of this technology to support architects' creative design processes in the form of augmented intelligence. Conceptual architectural design is an intricate process that produces new concepts by using prior knowledge, experience, intuition, and creativity. Artificial intelligence should not be used during the conceptual design stage with the goal of solving a problem in a predefined search space. Instead, potential solutions and design requirements should be explored using this technology. The suggested approach avoids preconceived solutions and psychological inertia attributed to the designer's finite experience. The paper gives a brief critical review of the application of AI in an architectural context, especially in conceptual design. The review emphasizes changes in the design process brought about by cutting-edge strategies, methods, and tools based on AI. Further, research by design is presented to illustrate the possible use of biologically inspired algorithms in producing innovative design proposals. The applied strategy in architectural design production was based on the human-machine interface and interaction (HMI&I). Symbiotic human-machine interaction in the design process facilitates the emergence of automated compositions that display novel and unexpected forms, detail, materiality, structure, functionality, and aesthetics. This study allowed us to explore peculiar architectural design methodologies and the potential of digitally intelligent architecture. PB - Faculty of Technical Sciences, University of Novi Sad PB - Serbian Society for Geometry and Graphics SUGIG C3 - Proceedings: Geometry, graphics and design in the digital age, The 9th International Scientific Conference on Geometry and Graphics MoNGeometrija 2023 T1 - Automated compositions: artificial intelligence aided conceptual design explorations in architecture SP - 103 EP - 115 UR - https://hdl.handle.net/21.15107/rcub_raf_1282 ER -
@conference{ author = "Milošević, Jelena and Đukanović, Ljiljana and Živković, Milijana and Žujović, Maša and Gavrilović, Marko", year = "2023", abstract = "The paper focuses on the challenges of the relationship between architecture and artificial intelligence (AI), in particular, the potential of this technology to support architects' creative design processes in the form of augmented intelligence. Conceptual architectural design is an intricate process that produces new concepts by using prior knowledge, experience, intuition, and creativity. Artificial intelligence should not be used during the conceptual design stage with the goal of solving a problem in a predefined search space. Instead, potential solutions and design requirements should be explored using this technology. The suggested approach avoids preconceived solutions and psychological inertia attributed to the designer's finite experience. The paper gives a brief critical review of the application of AI in an architectural context, especially in conceptual design. The review emphasizes changes in the design process brought about by cutting-edge strategies, methods, and tools based on AI. Further, research by design is presented to illustrate the possible use of biologically inspired algorithms in producing innovative design proposals. The applied strategy in architectural design production was based on the human-machine interface and interaction (HMI&I). Symbiotic human-machine interaction in the design process facilitates the emergence of automated compositions that display novel and unexpected forms, detail, materiality, structure, functionality, and aesthetics. This study allowed us to explore peculiar architectural design methodologies and the potential of digitally intelligent architecture.", publisher = "Faculty of Technical Sciences, University of Novi Sad, Serbian Society for Geometry and Graphics SUGIG", journal = "Proceedings: Geometry, graphics and design in the digital age, The 9th International Scientific Conference on Geometry and Graphics MoNGeometrija 2023", title = "Automated compositions: artificial intelligence aided conceptual design explorations in architecture", pages = "103-115", url = "https://hdl.handle.net/21.15107/rcub_raf_1282" }
Milošević, J., Đukanović, L., Živković, M., Žujović, M.,& Gavrilović, M.. (2023). Automated compositions: artificial intelligence aided conceptual design explorations in architecture. in Proceedings: Geometry, graphics and design in the digital age, The 9th International Scientific Conference on Geometry and Graphics MoNGeometrija 2023 Faculty of Technical Sciences, University of Novi Sad., 103-115. https://hdl.handle.net/21.15107/rcub_raf_1282
Milošević J, Đukanović L, Živković M, Žujović M, Gavrilović M. Automated compositions: artificial intelligence aided conceptual design explorations in architecture. in Proceedings: Geometry, graphics and design in the digital age, The 9th International Scientific Conference on Geometry and Graphics MoNGeometrija 2023. 2023;:103-115. https://hdl.handle.net/21.15107/rcub_raf_1282 .
Milošević, Jelena, Đukanović, Ljiljana, Živković, Milijana, Žujović, Maša, Gavrilović, Marko, "Automated compositions: artificial intelligence aided conceptual design explorations in architecture" in Proceedings: Geometry, graphics and design in the digital age, The 9th International Scientific Conference on Geometry and Graphics MoNGeometrija 2023 (2023):103-115, https://hdl.handle.net/21.15107/rcub_raf_1282 .