ABSTRACT

Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.

part Part 1|90 pages

Background, history, and theory of AI

chapter 1|10 pages

Significant others

Machine learning as actor, material, and provocateur in art and design
ByKyle Steinfeld

chapter 2|16 pages

Sculpting spaces of possibility

Brief history and prospects of artificial intelligence in design *
ByDaniel Cardoso Llach

chapter 3|30 pages

Mapping generative models for architectural design

ByPedro Veloso, Ramesh Krishnamurti

part Part 2|113 pages

AI tools, methods, and techniques

chapter 5|17 pages

Machine learning in architecture

An overview of existing tools
ByIlija Vukorep, Anatolii Kotov

chapter 6|20 pages

Fundamental aspects of pattern recognition in architectural drawing

ByTyler Kvochick

chapter 7|30 pages

AI as a collaborator in the early stage of the design

BySam Conrad Joyce

chapter 8|22 pages

AI in space planning

ByDanil Nagy

chapter 9|22 pages

Generating new architectural designs using topological AI

ByPrithwish Basu, Imdat As, Elizabeth Munch

part Part 3|43 pages

AI in architectural research

chapter 10|17 pages

Artificial intelligence in architectural heritage research

Simulating networks of caravanserais through machine learning
ByGuzden Varinlioglu, Özgün Balaban

chapter 11|8 pages

A deep-learning approach to real-time solar radiation prediction

ByTheodoros Galanos, Angelos Chronis

chapter 12|16 pages

Artificial intelligence and machine learning in landscape architecture

ByBradley Cantrell, Zihao Zhang, Xun Liu

part Part 4|204 pages

Case studies of AI in architecture

chapter 13|29 pages

Combining AI and BIM in the design and construction of a Mars habitat

ByNaveen K. Muthumanickam, José P. Duarte, Shadi Nazarian, Ali Memari, Sven G. Bilén

chapter 14|21 pages

Toward dynamic and explorative optimization for architectural design

ByDavid W. Newton

chapter 15|14 pages

Synergizing smart building technologies with data analytics

ByAndrzej Zarzycki

chapter 16|21 pages

Explainable ML

Augmenting the interpretability of numerical simulation using Bayesian networks
ByZack Xuereb Conti, Sawako Kaijima

chapter 17|14 pages

Image analytics for strategic planning

ByAldo Sollazzo

chapter 18|14 pages

Urban development predictor

Using development pipeline data to predict San Francisco’s growth

chapter 19|16 pages

AI in crowdsourced design

Sourcing collective design intelligence
ByImdat As, Prithwish Basu, Sergey Burukin

chapter 20|14 pages

Interfacing architecture and artificial intelligence

Machine learning for architectural design and fabrication
ByBastian Wibranek, Oliver Tessmann

chapter 21|11 pages

Machining and machine learning

Extending architectural digital fabrication through AI
ByPaul Nicholas

chapter 22|15 pages

Augmented intuition

Encoding ideas, matter, and why it matters
ByMathias Bernhard, Maria Smigielska, Benjamin Dillenburger

chapter 23|22 pages

AI and architecture

An experimental perspective
ByStanislas Chaillou

chapter 24|11 pages

An anonymous composition

A case study of form-finding optimization through a machine learning algorithm
ByAkshay Srivastava, Longtai Liao, Henan Liu