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 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

chapter 2|16 pages

Sculpting spaces of possibility

Brief history and prospects of artificial intelligence in design *

part 2|113 pages

AI tools, methods, and techniques

part 3|43 pages

AI in architectural research

part 4|204 pages

Case studies of AI in architecture

chapter 16|21 pages

Explainable ML

Augmenting the interpretability of numerical simulation using Bayesian networks

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

chapter 20|14 pages

Interfacing architecture and artificial intelligence

Machine learning for architectural design and fabrication

chapter 21|11 pages

Machining and machine learning

Extending architectural digital fabrication through AI

chapter 22|15 pages

Augmented intuition

Encoding ideas, matter, and why it matters

chapter 23|22 pages

AI and architecture

An experimental perspective

chapter 24|11 pages

An anonymous composition

A case study of form-finding optimization through a machine learning algorithm