Enhancing Architectural Space through AI-Driven Ideation: A Case Study of Future Iranian-Traditional City

Autores/as

DOI:

https://doi.org/10.34069/AI/2024.76.04.13

Palabras clave:

Artificial Intelligence, Architectural Space, Iranian-Traditional City, Future Cities, Midjourny, Dall.e3.

Resumen

Artificial intelligence is an evolving technology that has drawn huge economic and social, educational benefits for the future. The revolutionary potential of this technology is boundless, as it can transform how humans live, work, learn, discover, and interact with each other. This research aims to investigate the theoretical foundations of environmental psychology, identify the characteristics of the appropriate architectural space, and then investigate the effect of using artificial intelligence in creating the appropriate architectural space from a formal aspect. The research method is descriptive-analytical and of a qualitative type, which was done by studying library sources and then logically analyzing the data. The research tool is artificial intelligence Midjourny and Dall.e3, which has been introduced for some time in creating artistic images from input words, and prompts. It has been the focus of various artists and architects. It can be said that with architectural conceptual plans, the future will become a reality differently, and they can positively influence the creativity of architects and create futures that most people will not think of today. The use of these images in creating accessible spaces is only one example of the use of artificial intelligence in the architectural design process and it can inspire architectural researchers in various fields.

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Biografía del autor/a

Shabnam Golkarian, Near East University, Nicosia, Turkey.

Assist. Prof. Dr., Department of Architecture, Near East University, Nicosia, Turkey.

Citas

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Publicado

2024-04-30

Cómo citar

Golkarian, S. (2024). Enhancing Architectural Space through AI-Driven Ideation: A Case Study of Future Iranian-Traditional City. Amazonia Investiga, 13(76), 157–172. https://doi.org/10.34069/AI/2024.76.04.13

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Sección

Articles