EVOLUTION OF ARTIFICIAL INTELLIGENCE AND ITS INTEGRATION IN ARCHITECTURAL DESIGN
Keywords:
artificial intelligence, architectural design, historical development, generative design, parametric design, deep learning, large language models, evolutionary algorithms.Abstract
This article analyzes the conceptual formation and historical development stages of artificial intelligence (AI) within the context of architectural design. The study examines the evolution of AI technologies, from early rule-based systems to advanced approaches such as deep learning and generative models. The paper evaluates the emergence of AI tools in architectural design, their functional capabilities, and their role in optimizing design decisions. It highlights how AI is being integrated into contemporary architectural practice through approaches such as shape grammar, parametric design, generative adversarial networks (GANs), and large language models (LLMs). The article aims to provide a systematic analysis of the interrelation between AI and architecture.
References
Norvik, P. and S. Russell, Artificial Intelligence: A Modern Approach (4th Global ed.). 2021, Pearson Education Ltd.
Turing, A.M., Computing machinery and intelligence. 2009: Springer.
McCarthy, J., et al., A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI magazine, 2006. 27(4): p. 12-12.
Negroponte, N., The architecture machine. Computer-Aided Design, 1975. 7(3): p. 190-195.
Schumacher, P., Parametricism: A new global style for architecture and urban design. Architectural design, 2009. 79(4): p. 14-23.
Frazer, J., An evolutionary architecture. (No Title), 1995.
Chaillou, S. Archigan: Artificial intelligence x architecture. in Architectural intelligence: Selected papers from the 1st international conference on computational design and robotic fabrication (CDRF 2019). 2020. Springer.
Mitchell, W.J., The logic of architecture: Design, computation, and cognition. 1990: JSTOR.
Akin, Ö., Psychology of architectural design. (No Title), 1986.
He, R., J. Cao, and T. Tan, Generative artificial intelligence: a historical perspective. National Science Review, 2025. 12(5): p. nwaf050.
Stiny, G. and J. Gips. Shape grammars and the generative specification of painting and sculpture. in IFIP congress (2). 1971. Citeseer.
Rumelhart, D.E., G.E. Hinton, and R.J. Williams, Learning representations by back-propagating errors. nature, 1986. 323(6088): p. 533-536.
Stanislas, C. ArchiGAN: a Generative Stack for Apartment Building Design. 2019; Available from: https://developer.nvidia.com/blog/archigan-generative-stack-apartment-building-design/.
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