ENGLISH

The Routledge Companion to Artificial Intelligence in Architecture

By Imdat As and Prithwish Basu

Book information

Publisher
Routledge
Year
2021
ISBN
2020047524, 2020047525, 9780367424589, 9780367824259, 9780367749590
Language
english
Format
PDF
Filesize
41 MB (42779760 bytes)
Pages
\487
Time added
2021-04-21 04:24:58

Description

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

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