Machine Learning and the City: Applications in Architecture and Urban Design
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Carta, Silvio 
ORCID: 0000-0002-7586-3121 (ed.)
(2022)
Machine Learning and the City: Applications in Architecture and Urban Design.
John Wiley & Sons Ltd - Blackwell, Hoboken, New Jersey; West Sussex; Oxford.
ISBN 978-1119749639; 978-1119815075
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Abstract
Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each included section couples theoretical and technical chapters complete with authoritative references and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learning. Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments. Practical discussions of the consequences of applied machine learning and the future of urban design. Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.
| Item Type: | Edited Book |
|---|---|
| Uncontrolled Keywords: | machine learning; AI; design; urban design; architecture and technology; city planning |
| Subjects: | N Fine Arts > NA Architecture Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Faculty / School / Research Centre / Research Group: | Faculty of Liberal Arts & Sciences Faculty of Liberal Arts & Sciences > School of Design (DES) |
| Last Modified: | 18 Oct 2023 07:21 |
| URI: | http://gala.gre.ac.uk/id/eprint/44191 |
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