Machine learning and the city : applications in architecture and urban design

목차 (Table of Contents)

• CONTENTS
• Preface = xiii
• Acknowledgements = xv
• Introduction = xvi
• Section I. Urban Complexity = 1
• 1 Urban Complexity / Sean Hanna = 3
• 2 Emergence and Universal Computation / Cassey Lee = 15
• 3 Fractals and Geography / Pierre Frankhauser ; Denise Pumain = 31
• Project 1 Emergence and Urban Analysis / Ljubomir Jankovic = 57
• Project 2 The Evolution and Complexity of Urban Street Networks / Nahid Mohajeri ; Agust Gudmundsson = 63
• Section II. Machines that Think = 69
• 4 Artificial Intelligence, Logic, and Formalising Common Sense / John McCarthy = 71
• 5 Defining Artificial Intelligence / David B. Fogel = 91
• 6 AI : From Copy of Human Brain to Independent Learner / Shelly Fan = 121
• 7 The History of Machine Learning and Its Convergent Trajectory Towards AI / Keith D. Foote = 129
• 8 Machine Behaviour / Iyad Rahwan ; Manuel Cebrian ; Nick Obradovich ; Josh Bongard ; Jean-Francois
• Bonnefon ; Cynthia Breazeal ; Jacob W. Crandall ; Nicholas A. Christakis ; Iain D. Couzin ; Matthew O. Jackson ; Nicholas R. Jennings ; Ece Kamar ; Isabel M. Kloumann ; Hugo Larochelle ; David Lazer ; Richard McElreath ; Alan Mislove ; David C. Parkes ; Alex 'Sandy' Pentland ; Margaret E. Roberts ; Azim Shariff ; Joshua B. Tenenbaum ; Michael Wellman = 143
• Project 3 Plan Generation from Program Graph / Ao Li ; Runjia Tian ; Xiaoshi Wang ; Yueheng Lu = 167
• Project 4 Self-organising Floor Plans in Care Homes / Silvio Carta ; Stephanie St. Loe ; Tommaso Turchi ; Joel Simon = 171
• Project 5 N2P2 - Neural Networks and Public Places / Roberto Bottazzi ; Tasos Varoudis ; Piyush Prajapati ; Xi Wang = 177
• Project 6 Urban Fictions / Matias del Campo ; Sandra Manninger ; Alexandra Carlson = 183
• Project 7 Latent Typologies : Architecture in Latent Space / Stanislas Chaillou = 189
• Project 8 Enabling Alternative Architectures / Nate Peters = 193
• Project 9 Distant Readings of Architecture : A Machine View of the City / Andrew Witt = 201
• Section III. How Machines Learn = 207
• 9 What Is Machine Learning? / Jason Bell = 209
• 10 Machine Learning : An Applied Mathematics Introduction / Paul Wilmott = 217
• 11 Machine Learning for Urban Computing / Bilgecag Aydogdu ; Albert Ali Salah = 249
• 12 Autonomous Artificial Intelligent Agents / Iaroslav Omelianenko = 263
• Project 10 Machine Learning for Spatial and Visual Connectivity / Sherif Tarabishy ; Stamatios Psarras ; Marcin Kosicki ; Martha Tsigkari = 287
• Project 11 Navigating Indoor Spaces Using Machine Learning : Train Stations
• in Paris / Zhoutong Wang ; Qianhui Liang ; Fabio Duarte ; Fan Zhang ; Louis Charron ; Lenna
• Johnsen ; Bill Cai ; Carlo Ratti = 293
• Project 12 Evolutionary Design Optimisation of Traffic Signals Applied to
• Quito City / Rolando Armas ; Hernan Aguirre ; Fabio Daolio ; Kiyoshi Tanaka = 297
• Project 13 Constructing Agency : Self-directed Robotic Environments / Patrik Schumacher = 303
• Section IV. Application to the City = 309
• 13 Code and the Transduction of Space / Martin Dodge ; Rob Kitchin = 311
• 14 Augmented Reality in Urban Places : Contested Content and the Duplicity of
• Code / Mark Graham ; Matthew Zook ; Andrew Boulton = 341
• 15 Spatial Data in Urban Informatics : Contentions of the Software-sorted
• City / Marcus Foth ; Fahame Emamjome ; Peta Mitchell ; Markus Rittenbruch = 367
• 16 Urban Morphology Meets Deep Learning : Exploring Urban Forms in One
• Million Cities, Towns, and Villages Across the Planet / Vahid Moosavi = 379
• 17 Computational Urban Design : Methods and Case Studies / Snoweria Zhang ; Luc Wilson = 393
• 18 Indexical Cities : Personal City Models with Data as Infrastructure / Diana Alvarez-Marin = 409
• 19 Machine Learning, Artificial Intelligence, and Urban Assemblages / Serjoscha During ; Reinhard Koenig ; Nariddh Khean ; Diellza Elshani ; Theodoros Galanos ; Angelos Chronis = 445
• 20 Making a Smart City Legible / Franziska Pilling ; Haider Ali Akmal ; Joseph Lindley ; Paul Coulton = 453
• Project 14 A Tale of Many Cities : Universal Patterns in Human Urban Mobility / Anastasios Noulas ; Salvatore Scellato ; Renaud Lambiotte ; Massimiliano Pontil ; Cecilia Mascolo = 467
• Project 15 Using Cellular Automata for Parking Recommendations in Smart Environments / Gwo-Jiun Horng = 473
• Project 16 Gan Hadid / Sean Wallish = 477
• Project 17 Collective Design for Collective Living / Elizabeth Christoforetti ; Romy El Sayah = 483
• Project 18 Architectural Machine Translation /Erik Swahn = 489
• Project 19 Large-scale Evaluation of the Urban Street View with Deep
• Learning Method / Hui Wang ; Elisabete A. Silva ; Lun Liu = 495
• Project 20 Urban Portraits / Jose Luis Garcia del Castillo y Lopez = 501
• Project 21 ML-City / Benjamin Ennemoser = 507
• Project 22 Imaging Place Using Generative Adversarial Networks (GAN Loci) / Kyle Steinfeld = 513
• Project 23 Urban Forestry Science /Iacopo Testi = 517
• Section V. Machine Learning and Humans = 521
• 21 Ten Simple Rules for Responsible Big Data Research / Matthew Zook ; Solon Barocas ; Danah Boyd ; Kate Crawford ; Emily Keller ; Seeta Pena Gangadharan ; Alyssa Goodman ; Rachelle Hollander ; Barbara A. Koenig ; Jacob Metcalf ; Arvind Narayanan ; Alondra Nelson ; Frank Pasquale = 523
• 22 A Unified Framework of Five Principles for AI in Society / Luciano Floridi ; Josh Cowls = 535
• 23 The Big Data Divide and Its Consequences / Matthew T. McCarthy = 547
• 24 Design Fiction : A Short Essay on Design, Science, Fact, and Fiction / Julian Bleecker = 561
• 25 Superintelligence and Singularity / Ray Kurzweil = 579
• 26 The Social Life of Robots : The Politics of Algorithms, Governance, and
• Sovereignty / Vincent J. Del Casino Jr ; Lily House-Peters ; Jeremy W. Crampton ; Hannes Gerhardt = 603
• Project 24 Experiments in Synthetic Data / Forensic Architecture = 615
• Project 25 Emotional AI in Cities : Cross-cultural Lessons from the UK and
• Japan on Designing for an Ethical Life / Vian Bakir ; Nader Ghotbi ; Tung Manh Ho ; Alexander Laffer ; Peter Mantello ; Andrew McStay ; Diana Miranda ; Hiroshi Miyashita ; Lena Podoletz ; Hiromi Tanaka ; Lachlan Urquhart = 621
• Project 26 Decoding Urban Inequality : The Applications of Machine Learning
• for Mapping Inequality in Cities of the Global South / Kadeem Khan = 625
• Project 27 Amsterdam 2040 / Maria Luce Lupetti = 631
• Project 28 Committee of Infrastructure / Jason Shun Wong = 635
• Index = 639