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Book Cover
E-book
Author As, Imdat

Title The Routledge Companion to Artificial Intelligence in Architecture
Published Milton : Taylor & Francis Group, 2021

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Description 1 online resource (487 p.)
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 Description based upon print version of record
Form Electronic book
Author Basu, Prithwish
ISBN 9781000372373
1000372375