Issue |
SHS Web Conf.
Volume 203, 2024
SCAN’24 - 11e Séminaire de Conception Architecturale Numérique AI & Architecture
|
|
---|---|---|
Article Number | 04002 | |
Number of page(s) | 15 | |
Section | Approches de conception | |
DOI | https://doi.org/10.1051/shsconf/202420304002 | |
Published online | 13 November 2024 |
Espaces d’hybridation en conception architecturale. Modalités collaboratives entre cognitions naturelles et artificielles
Hybridization areas in architectural design. Collaborative modalities between natural and artificial cognition
1 TSA-LAB, LAB, UCLouvain, Rue Wafelaerts 47/51, 1060 Bruxelles, Belgique
2 LOCI, UCLouvain, Rue Wafelaerts 47/51, 1060 Bruxelles, Belgique
3 Architecte Designer Senior, Directeur du département R&D, B2Ai, Belgique
4 Architecte, membre du département R&D, B2Ai, Belgique
* Corresponding author: louis.roobaert@uclouvain.be
Les développements récents de l’intelligence artificielle (IA) forcent la reconfiguration des interactions humains-machines (IHM). Initiée par la cybernétique, cette évolution s’est déroulée en trois phases : standardisation, automatisation, adaptabilité. Permettant une collaboration entre conception et computation, l’IA favorise des réseaux d’hybridation entre mondes physique et numérique, où cognition humaines et artificielles interagissent pour renforcer l’émulation créative et décisionnelle. En conception architecturale, ces réseaux sont peu développés. Pour révéler ce potentiel, une analyse des réseaux de conception hybrides et une comparaison des niveaux de cognition sont proposées à l’aide de la taxonomie de Bloom croisée avec le modèle Cattell-Horn-Carroll.
Abstract
Recent developments in artificial intelligence (AI) are forcing a reconfiguration of human-machine interactions (HMI). Initiated by cybernetics, this evolution has unfolded in three phases: standardization, automation, adaptability. Facilitating collaboration between design and computation, AI promotes hybridization networks between physical and digital worlds, where human and artificial cognitions interact to enhance creative and decision-making emulation. In architectural design, however, these networks are still underdeveloped. To unveil this potential, an analysis of hybrid design networks and a comparison of levels of cognition are proposed using Bloom's taxonomy crossed with the Cattell-Horn-Carroll model.
Mots clés : intelligence artificielle / conception architecturale / réseau d’hybridation / IHM / spectre cognitif
Key words: artificial intelligence / architectural design / hybridisation network / human-machine collaboration / cognitive spectrum
© The Authors, published by EDP Sciences, 2024
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