Machine Learning and the City - by Silvio Carta (Paperback)

About the Book

"The twentieth century is replete with scientific and mathematical discoveries that have profoundly changed our world view. In physics, within a mere century, our view of the cosmos changed from a classical (Newtonian) to a relativistic one following Einstein's relativity theory in the early 1900s. In mathematics, Hilbert's faith in the closure of formal axiom systems fell apart with Gèodel's incompleteness theorem in the 1930s. Out of these ashes of lost deterministic foundations arose the sciences of complex systems, first in the study of non-equilibrium thermodynamics (under the intellectual leadership of Ilya Prigogine in Brussels) and later, in broader interdisciplinary terms, in New Mexico with the establishment of the Santa Fe Institute. Interestingly, a core element of this new paradigm-the notion of emergence-reflects the passage of the sciences and mathematics from a focus on closed and deterministic systems to open and dissipative systems where order, structure or patterns arise seemingly out of nowhere (at least as far as initial and boundary conditions are concerned)."--

Book Synopsis

Machine Learning and the City

Explore the applications of machine learning and artificial intelligence to the built environment

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 section couples theoretical and technical chapters, 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.

From the Back Cover

Explore the applications of machine learning and artificial intelligence to the built environment

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 section couples theoretical and technical chapters, 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.

About the Author

Silvio Carta is an architect and Associate Professor at the University of Hertfordshire, UK. His research interests include digital architecture, data-driven approaches and computational design. Silvio is the author of Big Data, Code and the Discrete City. Shaping Public Realms (Routledge 2019).