The Routledge Companion to Artificial Intelligence in Architecture

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 ContentsPart 1 – Background, History and Theory of AI
1. Significant Others: Machine Learning as Actor, Material, and Provocateur in Art and Design Kyle Steinfeld
2. Sculpting Probabilistic Spaces: Brief History and Prospects of Machine Learning in Design Daniel Cardoso Llach
3. Mapping generative models for architectural design Pedro Veloso,
Ramesh Krishnamurti
4. The Network of Interactions for an Artificial Architectural Intelligence Can Uzun
Part 2 – AI Tools, Methods and Techniques
5. Machine Learning in Architecture: An Overview of Existing Tool Ilija Vukorep,
Anatolii Kotov
6. Fundamental Aspects of Pattern Recognition in Architectural Drawing Tyler Kvochick
7. AI as a collaborator in the early stage of design Sam Conrad Joyce
8. AI in space planning Danil Nagy
9. Generating new architectural designs using topological AI Prithwish Basu, Imdat As, Elizabeth Munch
Part 3 – AI in Architectural Research
10. Artificial Intelligence in Architectural Heritage Research: Simulating Networks of Caravanserais through Machine Learning Guzden Varinlioglu, Özgün Balaban
11. A Deep Learning approach to Real Time Solar Radiation Prediction Theodoros Galanos, Angelos Chronis
12. Artificial Intelligence and Machine Learning in Landscape Architecture Bradley Cantrell, Zihao Zhang, Xun Liu
Part 4 – Case Studies of AI in Architecture
13. Combining AI and BIM in the design and construction of a Mars habitat Naveen K. Muthumanickam, Jose Pinto Duarte, Shadi Nazarian, Ali Memari, Sven G. Bilén
14. Towards Dynamic and Explorative Optimization for Architectural Design David Newton
15. Synergizing smart building technologies with data analytics Andrzej Zarzycki
16. Explainable ML: Augmenting the interpretability of numerical simulation using Bayesian networks Zack Xuereb Conti, Sawako Kaijima
17. Image Analytics for Strategic Planning Aldo Sollazzo
18. Urban Development Predictor SOM (Skidmore, Owings and Merrill)
19. AI in Crowdsourced Design: Sourcing Collective Design Intelligence Imdat As, Prithwish Basu, Sergey Burukin
20. Interfacing Architecture and Artificial Intelligence – Machine Learning for Architectural Design and Fabrication Bastian Wibranek, Oliver Tessmann
21. Machining and machine learning: Extending architectural fabrication through AI Paul Nicholas
22. Augmented Intuition – Encoding Ideas, Matter and why it matters Mathias Bernhard, Maria Smigielska, Benjamin Dillenburger
23. AI & Architecture – An Experimental Perspective Stanislas Chaillou
24. An Anonymous Composition: A Case Study of Form Finding Optimization through Machine Learning Algorithm Akshay Srivastava, Longtai Liao, Henan Liu
25. Turbulent Intelligences: Liquid Architectures in Latent Spaces Marcos Novak
Index
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