Architectural Intelligence is a peer-reviewed journal for original research papers focusing on the three future scenarios of smart habitat, virtual habitat and space habitat, and emerging digital technologies in the whole lifecycle of architecture, including design, simulation, optimization, construction, operation, and inhabitation. The journal sees design thinking as the interface between advanced digital technologies and the built environment, and embraces all forms of intelligence in architecture, urban design, and landscape architecture. Meanwhile, it initiates a series of dialogs crossing civil engineering, environmental engineering, computer science, social science, and other relevant disciplines to generate new knowledge and new techniques.
- Publishing research on the three future scenarios of smart, virtual and space habitats
- APC fully sponsored by Tongji University
- The journal sees design as the interface between technology and the built environment
Journal information
- Editor-in-Chief
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- Philip F. Yuan
- Publishing model
- Open Access. How to publish with us
Latest issue
Latest articles
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Architectural sampling: three possible preconditions for machine learning architectural forms
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InterspeciesForms the hybridization of architectural, biological and robotic agencies
Authors
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Exploration of three-dimensional spatial learning approach based on machine learning–taking Taihu stone as an example
Authors (first, second and last of 4)
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Intelligent renovation of existing Olympic venues: digital design and construction strategy of a DfD-based prefabricated structure system
Authors (first, second and last of 6)
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Journal updates
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Call for Papers: Artificial Intelligence in Architectural Design
In this thematic series, we wish to examine a possible future in which AI is not only a design assistant, but also a design master, becoming more involved in the design process as a whole. As a result, researchers and designers must consider new positions, discover new values, identify breakthrough points, and defend themselves against the incoming impact.
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Call of Papers: Computational Urban Design
This special issue aims to provide new insights on how digital technologies transform our urban spaces and how they can be harnessed to design better cities for the future. Aiming to demonstrate a range of theoretical, methodological and empirical studies from this field, the proposed special issue is expected to deliver up-to-date knowledge to readers on how the combination of urban big data, VR, AR, wearable biosensors, and AI can help us not only explore, analyze and evaluate cities but also generate multiple design solutions for the urban environment.
Guest editors
Yu Ye, College of Architecture and Urban Planning, Tongji University, China.
Peng Du, College of Architecture and the Built Environment, Thomas Jefferson University, USA.
Mohammed Makki, School of Architecture, University of Technology Sydney, Australia.
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Call for Papers: A Reconsideration for the Built Environment in Post-epidemic Era
In the context of the major health challenges facing the global human settlement environment since the outbreak of epidemic, it is important to understand and apply the possible solution for building a healthy city in the post-epidemic era. This special issue will contain research and discussion on the related design methods, evaluation models and some case studies of healthy human settlements at multiple scales, including healthy neighborhoods and healthy buildings.
Guest Editors
Jiawei Yao, College of Architecture and Urban Planning, Tongji University, China.
John Calautit, Department of Architecture and Built Environment, University of Nottingham, UK.
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Inaugural Articles of Architectural Intelligence
The inaugural articles of Architectural Intelligence will include one Editorial, four Commentaries, seven Review articles and three Research articles. Our authors are from The People’s Republic of China, The United Kingdom of Great Britain and Northern Ireland, Commonwealth of Australia, Federal Republic of Germany, The Kingdom of Denmark, Swiss Confederation, etc.
Societies, partners and affiliations
About this journal
- Electronic ISSN
- 2731-6726
- Abstracted and indexed in
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- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Dimensions
- EBSCO Discovery Service
- Google Scholar
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- TD Net Discovery Service
- Wanfang
- Copyright information