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|2 23
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|a Artificial intelligence in urban planning and design
|h [electronic resource] :
|b technologies, implementation, and impacts /
|c edited by Imdat As, Prithwish Basu.
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|a Amsterdam :
|b Elsevier,
|c 2022.
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|a 1 online resource
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|a text
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|a online resource
|2 rdacarrier
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|a Print version record.
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|a Intro -- Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts -- Copyright -- Contents -- Contributors -- Preface -- Content -- Acknowledgments -- Part 1: Theoretical foundations -- Chapter 1: A new agenda for AI-based urban design and planning -- Embracing AI to recalibrate the master plan -- The future of work: AI and the disruption of planning and urban design practice -- Perpetually unfinished business -- Unpacking artificial intelligence for planners and urban designers
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|a Fundamental AI components for disrupting planning and urban design practice -- AI components deemed to be very useful -- AI components deemed to be potentially useful -- AI components deemed to be currently least relevant -- AI enhancing traditional planning and urban design services workflow -- AI-assisted citizen jury sandpit -- AI and the challenges to expertise -- Acknowledgment -- References -- Chapter 2: AI and the limits of human creativity in urban planning and design -- Introduction -- AlphaGo v Lee Sedol -- The Sputnik moment -- Architectural lessons -- Xkool -- Spacemaker AI
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|a The limits of human creativity -- Learning from Move 37 -- Rethinking creativity -- References -- Chapter 3: Complexity science for urban solutions -- Introduction -- Artificial intelligence (AI) in the built environment -- Complexity science and urban systems -- Key aspects of spatial network analysis -- Scale of spatial networks -- Common types of spatial networks -- Directional and weighting -- Adjacency, accessibility, and visibility -- Dual representation -- Analysis of spatial networks -- Measurements of the importance of spatial nodes -- Measurements of the criticalness of links
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|a Detection of community structure -- Computational social science and its AI applications -- Summary -- Acknowledgments -- References -- Part 2: AI tools and techniques -- Chapter 4: Classes of AI tools, techniques, and methods -- Introduction -- A working definition of AI in urban planning and design -- Tools: Algorithmic clades in urban planning and design -- Evolutionary algorithms -- Deep learning -- Generative grammars -- Agent-based modeling -- Techniques: A machines-eye view of the city -- Simple reflex agents -- Model-based reflex agents -- Goal-based agents -- Utility-based agents
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|a Learning agents -- Methods: A snapshot from the practitioner's desktop -- Emergent -- Integrating -- Generative -- Augmenting -- A fuzzy landscape -- Conclusions -- Acknowledgments -- References -- Chapter 5: Urban form analysis through morphometry and machine learning -- Urban form-A basic definition -- Urban morphometry -- Context-rich urban analysis and generation using machine learning -- Constructing a custom form dataset -- Identification of urban types -- Evaluation of inductively defined urban types -- Urban morphometry with advanced statistics -- References
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| 650 |
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|a City planning
|x Data processing.
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| 650 |
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|a Artificial intelligence.
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|a Artificial Intelligence
|0 (DNLM)D001185
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|a Intelligence artificielle.
|0 (CaQQLa)201-0008626
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|a artificial intelligence.
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|a Artificial intelligence
|2 fast
|0 (OCoLC)fst00817247
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| 650 |
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|a City planning
|x Data processing
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|0 (OCoLC)fst00862198
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1 |
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|a As, Imdat.
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1 |
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|a Basu, Prithwish.
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| 776 |
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|i Print version:
|z 0128239417
|z 9780128239414
|w (OCoLC)1257401639
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| 776 |
0 |
8 |
|i Print version:
|t Artificial intelligence in urban planning and design
|z 9780128239414
|w (OCoLC)1313359736
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| 856 |
4 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780128239414
|z Texto completo
|
