The Routledge Companion to Artificial Intelligence in Architecture

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