AI in architecture and engineering from misconceptions to game-changing prospects

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00372724" target="_blank" >RIV/68407700:21110/24:00372724 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/s44223-023-00046-9" target="_blank" >https://doi.org/10.1007/s44223-023-00046-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s44223-023-00046-9" target="_blank" >10.1007/s44223-023-00046-9</a>

Result language

angličtina

Original language name

AI in architecture and engineering from misconceptions to game-changing prospects

Original language description

Artificial intelligence invades our lives and professions at an ever-increasing pace and intensity. Architecture, engineering, construction, and operation of the real estate have been joining the trend only timidly and belatedly. The paper overviews the basic concepts, methods, general background, and results of artificial intelligence in architecture to date, discusses the achievements and prospects, and concludes the perspectives on the deployment of machine learning in the field. The record of some of the most recent “famous achievements” in the field is set straight and challenged, the flawed idea of a (truly) creative potential of the technology is debunked. Its roots equidistributed both in a farsighted vision of the next workflow of both productive and creative architectural and engineering designing, and construction and real estate management on the one hand and state-of-the-art machine learning on the other, an ambitious though realistic blueprint for R&D of AI-fostered architectural creativity, building design, planning, and operation is tabled for discussion. The attention turns to open-source patterns platforms, generative patterns processing, generative pre-design, parametric evaluation and optimization, latest achievements in machine learning building on reinforcement learning, imitation-based learning, learning a behavior policy from demonstration, and selflearning paradigms zooming in on the design-development processes instead of only on their results. Leveraging the objectivity of assessments and streamlining workflows, artificial intelligence promises to unleash true architectural creativity and leverage the productivity and efficiency of the design, planning, and operation processes.

Czech name

—

Czech description

—

Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

—

OECD FORD branch

60402 - Architectural design

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Architectural Intelligence

ISSN

2731-6726

e-ISSN

2731-6726

Volume of the periodical

3

Issue of the periodical within the volume

4

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

1-21

UT code for WoS article

—

EID of the result in the Scopus database

—