Iaac bits learning cities (20 résultats)

paperback. Etat : Like New. May have light shelf wear and/or a remainder mark. Complete. Clean pages.

Etat : New.

Etat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Paperback or Softback. Etat : New. Iaac Bits 10 - Learning Cities: Collective Intelligence in Urban Design. Book.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback. Etat : new. Paperback. The digital intelligence that is inevitably starting to penetrate every aspect of our previously analogue systems of living, working or social interacting calls for new models of designing our city and opens new territories of experimentation in the processes related to urban design. While the idea of intelligent machines that simulate 'cognitive functions' such as 'learning' or 'problem solving' is not new, its extensive use, in recent years, in the urban design discipline opens up a series of new possibilities as well as plenty of cultural, ethical or even aesthetic hesitations and risks. How do our cities learn? Can machines design and what? Is crowd intelligence appropriately harvested in our evolutionary and generative design processes? And has our current big data analysis approach reached the limit of human and computational intelligence? Learning Cities explores the 'intelligence' applied in the processes and outcomes of designing our urban environments. From a variety of applications of artificial intelligence and machine learning for urban planning to co-creation processes that merge crowd intelligence with digital technologies, Learning Cities highlights that 'intelligence' in the built environment should be understood beyond human, object or machinic intelligence alone. Through a variety of contributions from experts in different fields the current IAAC Bits Journal Issue explores novel collective intelligence design processes in which designers, users, the built environment, and digital codes all play a fundamental role in a unique resonance that takes place among them. With Contributions of Areti Markopoulou, Manuel Gausa, Jordi Vivaldi, Benjamin Bratton, John Fraser, Mollie Steenson, Stanislas Chaillou, Sarah Williams, Theodora Vardouli, Neil Leach, Angelos Chronis, Jose Sanchez, Mathilde Marengo, , Aldo Sollazzo, Aleksandra Sojka, Matias del Campo, Chiara Farinea, Rodrigo Delso, Sandra Maninger, Javier Argota, Cobus Bothma and others Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : New.

Paperback. Etat : New.

Etat : As New. Unread book in perfect condition.

paperback. Etat : New. Special order direct from the distributor.

Etat : New.

Etat : New. In English.

Paperback. Etat : Brand New. 200 pages. 10.62x7.87x0.80 inches. In Stock.

Paperback. Etat : Brand New. 200 pages. 10.62x7.87x0.80 inches. In Stock.

Taschenbuch. Etat : Neu. Neuware - The digital intelligence that is inevitably starting to penetrate every aspect of our previously analogue systems of living, working or social interacting calls for new models of designing our city and opens new territories of experimentation in the processes related to urban design.While the idea of intelligent machines that simulate "cognitive functions" such as "learning" or "problem solving" is not new, its extensive use, in recent years, in the urban design discipline opens up a series of new possibilities as well as plenty of cultural, ethical or even aesthetic hesitations and risks. How do our cities learn Can machines design and what Is crowd intelligence appropriately harvested in our evolutionary and generative design processes And has our current big data analysis approach reached the limit of human and computational intelligence Learning Cities explores the "intelligence" applied in the processes and outcomes of designing our urban environments. From a variety of applications of artificial intelligence and machine learning for urban planning to co-creation processes that merge crowd intelligence with digital technologies, Learning Cities highlights that "intelligence" in the built environment should be understood beyond human, object or machinic intelligence alone. Through a variety of contributions from experts in different fields the current IAAC Bits Journal Issue explores novel collective intelligence design processes in which designers, users, the built environment, and digital codes all play a fundamental role in a unique resonance that takes place among them.With Contributions ofAreti Markopoulou, Manuel Gausa, Jordi Vivaldi, Benjamin Bratton, John Frazer, Molly Wright Steenson, Stanislas Chaillou, SarahWilliams, Theodora Vardouli, Neil Leach, Angelos Chronis, José Sánchez, Mathilde Marengo, Aldo Sollazzo, Aleksandra Sojka, Matiasdel Campo, Chiara Farinea, Rodrigo Delso, Sandra Maninger, Javier Argota, Cobus Bothma and others.…

Paperback. Etat : New.

Etat : New. KlappentextThe digital intelligence that is inevitably starting to penetrate every aspect of our previously analogue systems of living, working or social interacting calls for new models of designing our city and opens new territories.

Paperback. Etat : new. Paperback. The digital intelligence that is inevitably starting to penetrate every aspect of our previously analogue systems of living, working or social interacting calls for new models of designing our city and opens new territories of experimentation in the processes related to urban design. While the idea of intelligent machines that simulate 'cognitive functions' such as 'learning' or 'problem solving' is not new, its extensive use, in recent years, in the urban design discipline opens up a series of new possibilities as well as plenty of cultural, ethical or even aesthetic hesitations and risks. How do our cities learn? Can machines design and what? Is crowd intelligence appropriately harvested in our evolutionary and generative design processes? And has our current big data analysis approach reached the limit of human and computational intelligence? Learning Cities explores the 'intelligence' applied in the processes and outcomes of designing our urban environments. From a variety of applications of artificial intelligence and machine learning for urban planning to co-creation processes that merge crowd intelligence with digital technologies, Learning Cities highlights that 'intelligence' in the built environment should be understood beyond human, object or machinic intelligence alone. Through a variety of contributions from experts in different fields the current IAAC Bits Journal Issue explores novel collective intelligence design processes in which designers, users, the built environment, and digital codes all play a fundamental role in a unique resonance that takes place among them. With Contributions of Areti Markopoulou, Manuel Gausa, Jordi Vivaldi, Benjamin Bratton, John Fraser, Mollie Steenson, Stanislas Chaillou, Sarah Williams, Theodora Vardouli, Neil Leach, Angelos Chronis, Jose Sanchez, Mathilde Marengo, , Aldo Sollazzo, Aleksandra Sojka, Matias del Campo, Chiara Farinea, Rodrigo Delso, Sandra Maninger, Javier Argota, Cobus Bothma and others Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Etat : New.