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The Routledge Companion to Artificial Intelligence in Architecture

Authored by: Imdat As , Prithwish Basu

Print publication date:  May  2021
Online publication date:  May  2021

Print ISBN: 9780367424589
eBook ISBN: 9780367824259
Adobe ISBN:

 Cite  Marc Record

Book description

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.

Table of contents

Prelims Download PDF
Chapter  1:  Significant others Download PDF
Chapter  2:  Sculpting spaces of possibility Download PDF
Chapter  3:  Mapping generative models for architectural design Download PDF
Chapter  4:  The network of interactions for an artificial architectural intelligence Download PDF
Chapter  5:  Machine learning in architecture Download PDF
Chapter  6:  Fundamental aspects of pattern recognition in architectural drawing Download PDF
Chapter  7:  AI as a collaborator in the early stage of the design Download PDF
Chapter  8:  AI in space planning Download PDF
Chapter  9:  Generating new architectural designs using topological AI Download PDF
Chapter  10:  Artificial intelligence in architectural heritage research Download PDF
Chapter  11:  A deep-learning approach to real-time solar radiation prediction Download PDF
Chapter  12:  Artificial intelligence and machine learning in landscape architecture Download PDF
Chapter  13:  Combining AI and BIM in the design and construction of a Mars habitat Download PDF
Chapter  14:  Toward dynamic and explorative optimization for architectural design Download PDF
Chapter  15:  Synergizing smart building technologies with data analytics Download PDF
Chapter  16:  Explainable ML Download PDF
Chapter  17:  Image analytics for strategic planning Download PDF
Chapter  18:  Urban development predictor Download PDF
Chapter  19:  AI in crowdsourced design Download PDF
Chapter  20:  Interfacing architecture and artificial intelligence Download PDF
Chapter  21:  Machining and machine learning Download PDF
Chapter  22:  Augmented intuition Download PDF
Chapter  23:  AI and architecture Download PDF
Chapter  24:  An anonymous composition Download PDF
Index Download PDF
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