The Routledge companion to artificial intelligence in architecture / edited by Imdat As and Prithwish Basu.

Format:

Book

Contributor:

Basu, Prithwish, editor.

Series:

Routledge companions.

Routledge companions

Language:

English

Subjects (All):

Architecture and technology.

Artificial intelligence.

Physical Description:

1 online resource (xxi, 463 pages) : illustrations

Edition:

1st ed.

Distribution:

London : Bloomsbury Publishing (UK), 2025.

Place of Publication:

Oxfordshire : Routledge, 2021.

System Details:

text file rdaft

Summary:

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.

Contents:

Cover

Half Title

Title Page

Copyright Page

Table of Contents

List of contributors

Preface

Acknowledgments

PART 1 Background, history, and theory of AI

1 Significant others: machine learning as actor, material, and provocateur in art and design

2 Sculpting spaces of possibility: brief history and prospects of artificial intelligence in design

3 Mapping generative models for architectural design

4 The network of interactions for an artificial architectural intelligence

PART 2 AI tools, methods, and techniques

5 Machine learning in architecture: an overview of existing tools

6 Fundamental aspects of pattern recognition in architectural drawing

7 AI as a collaborator in the early stage of the design

8 AI in space planning

9 Generating new architectural designs using topological AI

PART 3 AI in architectural research

10 Artificial intelligence in architectural heritage research: simulating networks of caravanserais through machine learning

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

12 Artificial intelligence and machine learning in landscape architecture

PART 4 Case studies of AI in architecture

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

14 Toward dynamic and explorative optimization for architectural design

15 Synergizing smart building technologies with data analytics

16 Explainable ML: augmenting the interpretability of numerical simulation using Bayesian networks

17 Image analytics for strategic planning

18 Urban development predictor: using development pipeline data to predict San Francisco's growth

19 AI in crowdsourced design: sourcing collective design intelligence

20 Interfacing architecture and artificial intelligence: machine learning for architectural design and fabrication.

21 Machining and machine learning: extending architectural digital fabrication through AI

22 Augmented intuition: encoding ideas, matter, and why it matters

23 AI and architecture: an experimental perspective

24 An anonymous composition: a case study of form-finding optimization through a machine learning algorithm

Index.

Notes:

Includes bibliographical references and index.

ISBN:

0-367-82425-6

1-000-37237-5

9780367824259

OCLC:

1243541044