Generative IA and complexity – Towards a new paradigm in regenerative digital design

The synthesis of artificial intelligence, deep learning and parametric design in regenerative digital design can significantly reshape the pre-design phase in climate scenarios. By formulating a new workflow linking computational processes with human-centred design, it is possible to realise a more adaptive approach to environmental design that anticipates the complexities of our built environment and fosters responsive and resilient collective creativity. Starting from the abstract and introduction, a focus is proposed to investigate the complexity and emerging field of regenerative digital design, particularly in climate scenarios. The basic premise is that AI’s deep learning and natural language processing capabilities can go beyond simple visual outcomes to address nuanced and multifaceted design challenges. Article info Received: 14/10/2024; Revised: 18/10/2024; Accepted: 20/10/2024

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.19229/2464-9309/1632024
Citations
1
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
3.61
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article

Generative IA and complexity – Towards a new paradigm in regenerative digital design

1 citations
SHILAP Revista de lepidopterología
Architecture and Computational Design
3.61
article

Generative IA and complexity – Towards a new paradigm in regenerative digital design

article en
1 citations

Abstract

The synthesis of artificial intelligence, deep learning and parametric design in regenerative digital design can significantly reshape the pre-design phase in climate scenarios. By formulating a new workflow linking computational processes with human-centred design, it is possible to realise a more adaptive approach to environmental design that anticipates the complexities of our built environment and fosters responsive and resilient collective creativity. Starting from the abstract and introduction, a focus is proposed to investigate the complexity and emerging field of regenerative digital design, particularly in climate scenarios. The basic premise is that AI’s deep learning and natural language processing capabilities can go beyond simple visual outcomes to address nuanced and multifaceted design challenges. Article info Received: 14/10/2024; Revised: 18/10/2024; Accepted: 20/10/2024

SHILAP Revista de lepidopterología
New York Institute of Technology (CA), University of Reggio Calabria (IT)
Climate action
Openalex Percentile: Top 4%
Architecture and Computational Design
3.61
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Generative IA and complexity – Towards a new paradigm in regenerative digital design · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS