Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFSC |
Texto Completo: | https://repositorio.ufsc.br/handle/123456789/253576 |
Resumo: | Research into digital design assistance and artificial intelligence (AI) is not new. Advances stemming from them have strongly marked our way of developing projects, reaching the potential for disruptive and discontinuous creations, far beyond what we know in the world. AIs have plenty of room to grow, and within decades intelligent machines could possibly surpass human intelligence. But first there will be a significant disruption in the way we behave, practice and learn. We need to understand how to deal with this advance. This study is interested in expanding and diversifying the use of AIs in the design practice of Architecture, Engineering, Construction and Design, proposing an introductory mapping (basic framework) of which AI-based systems, services and artifacts actually assist, affect and are available for use by designers, as well as what changes in design practice with regard to conceptualization, interpretation, functionality and performance, the natural requirements of AECD projects. |
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Repositório Institucional da UFSC |
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Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure frameworkInteligência Artificial e Projetos AECD: mapeamento para aplicação de IA em um framework de estrutura de projetosAEC projects; Digital Technology, Artificial Intelligence; Frameworks; ComplexityResearch into digital design assistance and artificial intelligence (AI) is not new. Advances stemming from them have strongly marked our way of developing projects, reaching the potential for disruptive and discontinuous creations, far beyond what we know in the world. AIs have plenty of room to grow, and within decades intelligent machines could possibly surpass human intelligence. But first there will be a significant disruption in the way we behave, practice and learn. We need to understand how to deal with this advance. This study is interested in expanding and diversifying the use of AIs in the design practice of Architecture, Engineering, Construction and Design, proposing an introductory mapping (basic framework) of which AI-based systems, services and artifacts actually assist, affect and are available for use by designers, as well as what changes in design practice with regard to conceptualization, interpretation, functionality and performance, the natural requirements of AECD projects.Grupo de Pesquisa VirtuHab/UFSC2023-12-20T12:30:37Z2023-12-20T12:30:37Z23-12-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf978-65-00-87779-3https://repositorio.ufsc.br/handle/123456789/253576Gomes, Leonardo G. de OliveiraPereira, Andréa Francoporreponame:Repositório Institucional da UFSCinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCinfo:eu-repo/semantics/openAccess2023-12-20T12:30:37Zoai:repositorio.ufsc.br:123456789/253576Repositório InstitucionalPUBhttp://150.162.242.35/oai/requestopendoar:23732023-12-20T12:30:37Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework Inteligência Artificial e Projetos AECD: mapeamento para aplicação de IA em um framework de estrutura de projetos |
title |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework |
spellingShingle |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework Gomes, Leonardo G. de Oliveira AEC projects; Digital Technology, Artificial Intelligence; Frameworks; Complexity |
title_short |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework |
title_full |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework |
title_fullStr |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework |
title_full_unstemmed |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework |
title_sort |
Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework |
author |
Gomes, Leonardo G. de Oliveira |
author_facet |
Gomes, Leonardo G. de Oliveira Pereira, Andréa Franco |
author_role |
author |
author2 |
Pereira, Andréa Franco |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Gomes, Leonardo G. de Oliveira Pereira, Andréa Franco |
dc.subject.por.fl_str_mv |
AEC projects; Digital Technology, Artificial Intelligence; Frameworks; Complexity |
topic |
AEC projects; Digital Technology, Artificial Intelligence; Frameworks; Complexity |
description |
Research into digital design assistance and artificial intelligence (AI) is not new. Advances stemming from them have strongly marked our way of developing projects, reaching the potential for disruptive and discontinuous creations, far beyond what we know in the world. AIs have plenty of room to grow, and within decades intelligent machines could possibly surpass human intelligence. But first there will be a significant disruption in the way we behave, practice and learn. We need to understand how to deal with this advance. This study is interested in expanding and diversifying the use of AIs in the design practice of Architecture, Engineering, Construction and Design, proposing an introductory mapping (basic framework) of which AI-based systems, services and artifacts actually assist, affect and are available for use by designers, as well as what changes in design practice with regard to conceptualization, interpretation, functionality and performance, the natural requirements of AECD projects. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-20T12:30:37Z 2023-12-20T12:30:37Z 23-12-06 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
978-65-00-87779-3 https://repositorio.ufsc.br/handle/123456789/253576 |
identifier_str_mv |
978-65-00-87779-3 |
url |
https://repositorio.ufsc.br/handle/123456789/253576 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Grupo de Pesquisa VirtuHab/UFSC |
publisher.none.fl_str_mv |
Grupo de Pesquisa VirtuHab/UFSC |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFSC instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Repositório Institucional da UFSC |
collection |
Repositório Institucional da UFSC |
repository.name.fl_str_mv |
Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
|
_version_ |
1808652333342523392 |