UCL - Future Cities
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This document discusses how simple software agents can help manage smart cities. It proposes using agents to represent individual urban elements like buildings, infrastructure and citizen activities. Agents could help cities transition from just collecting urban data to actively "farming" and reusing municipal information. The document provides examples of how agents could help with tasks like managing public art/monuments, coordinating streetlight repairs based on citizen reports, and resolving data issues between city departments. Developing agent-based applications is presented as a way to apply complexity theory and make cities more participatory, adaptive and knowledge-driven.
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UCL - Future Cities
- 1. Simple Agents for Smart Cities from Agent-based Modeling to Agent-oriented Programming Future Cities and Digital Technologies September 27, 2013 UCL-CASA Guerin & Carrera
- 2. OUTLINE City Knowledge Complex Adaptive Systems Citizens Participation Simple Agents for Smart Cities
- 3. City Knowledge Urban Data Management City Knowledge Concepts
- 4. Urban data management 1.0 Documentation (vs. Information) Silos and Stovepipes Redundancy and Discrepancies Staff, Vendors, Consultants and Contractors Complicated Cross-Coordination
- 6. goal of City knowledge To promote the transformation of Municipalities from Hunter-gatherers of urban data to Farmers of municipal information
- 7. Dissertation (MIT) - 2004 City Knowledge: An Emergent Information Infrastructure for Sustainable Urban Maintenance, Management and Planning http://hdl.handle.net/1721.1/28790 (google: ”City Knowledge MIT”)
- 8. philosophy of city knowledge treated as any other City Infrastructure farmed not hunted atomized by urban element re-combined and re-used Urban Information should be:
- 9. Premises of city knowledge Cities are “finite” City = Structures & Activities Municipal gov. controls urban change Past can be reconstructed (once) Future can be intercepted (daily)
- 10. OUTLINE City Knowledge Complex Adaptive Systems Citizens Participation Simple Agents for Smart Cities
- 11. Complexity Principles Santa Fe Complex Adaptive Systems Agents Models Complexity and Cities
- 12. QuickTime™ and a H.264 decompressor are needed to see this picture. josh@stigmergic.net Swarm Behavior
- 13. A Simple Agent
- 14. Repel
- 15. Attract Repel
- 16. Ant Foraging
- 17. QuickTime™ and a decompressor are needed to see this picture. Ant Foraging
- 18. 26 QuickTime™ and a Sorenson Video 3 decompressor are needed to see this picture.
- 19. QuickTime™ and a Sorenson Video 3 decompressor are needed to see this picture.
- 21. Crowd Egress from Pittsburgh’s PNC Park QuickTime™ and a decompressor are needed to see this picture.
- 22. QuickTime™ and a decompressor are needed to see this picture.
- 23. OUTLINE City Knowledge Complex Adaptive Systems Citizens Participation Simple Agents for Smart Cities
- 24. CITIZEN PARTICIPATION Interactive Ambient Interfaces Mobile Apps
- 26. The Venice Table Venice Table Video
- 27. 35 play “CerroGordo_15seconds.mov” here please insert all movies at full frame QuickTime™ and a MPEG-4 Video decompressor are needed to see this picture. Text
- 30. play “firefighters.m4v” here QuickTime™ and a decompressor are needed to see this picture.
- 31. play “GFX_Clipped.mov” here QuickTime™ and a MPEG-4 Video decompressor are needed to see this picture.
- 32. Play “fireStart-2.mov” hereQuickTime™ and a decompressor are needed to see this picture.
- 35. play “uncalibratedCeiling.m4v” here QuickTime™ and a decompressor are needed to see this picture.
- 36. play “calibratedCeiling.m4v” here QuickTime™ and a decompressor are needed to see this picture.
- 38. QuickTime™ and a MPEG-4 Video decompressor are needed to see this picture.
- 39. QuickTime™ and a decompressor are needed to see this picture. 47
- 40. 48
- 41. 49
- 42. 50
- 43. 51
- 44. 52
- 45. 53
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- 49. Secret Service Secret Service Video
- 50. CITIZEN PARTICIPATION Interactive Ambient Interfaces Mobile Apps
- 51. Venice Noise
- 52. StreetBump
- 53. StreetBump App Turn it on and forget about it… (originally intended for City vehicles)
- 54. OUTLINE City Knowledge Complex Adaptive Systems Citizens Participation Simple Agents for Smart Cities
- 55. Urban agents Urban Agents (for Structures and Activities) Birth Certificates Intelligent Urban Assets
- 57. StreetBump: Identify & Fix Potholes How can we tell if it is REALLY a pothole?
- 58. Pothole Agents
- 59. SIMPLE AGENTS for SMART CITIES PreserVenice Streetlights
- 60. SIMPLE AGENTS for SMART CITIES PreserVenice Streetlights
- 61. PreserVenice
- 62. Coats of Arms Confraternity Symbols Crosses Fragments Sculptures Inscriptions Patere Street Altars Reliefs Bells Church Floors Fountains Wellheads Lunette Decorations Keystones Portals Monuments•Flagstaff Pedestals Venice Public Art
- 63. UNESCO Public Art App
- 64. SIMPLE AGENTS for SMART CITIES PreserVenice Streetlights
- 65. Streetlights and Agents Electrical Utility Company
- 66. Identify redundant Datasets Electrical Utility Company Department of Public Works
- 71. Multiple Agents Manage Object Attributes
- 72. Addressing Complaints Citizen Complaint (311 in US)
- 73. Citizen Report of Streetlight Outage
- 74. Which Light is the Complaint about?
- 75. Two Streetlights are Candidates
- 76. So Which is it?
- 77. This one?
- 78. Or This One?
- 79. Answer: Let the Agents figure it out...
- 80. Involve Citizens via Smartphones
- 81. Smartphone receives alert from Agent
- 82. Agents Handshake
- 83. Streetlight agent asks Phone Agent
- 84. User Answers a Simple Question
- 85. It’s not this Streetlight X
- 86. Meanwhile the other Streetlight Agent...
- 87. ...Sends Alert to another Smartphone...
- 88. By Detecting its Proximity
- 89. Handshaking
- 90. And Asking the Same Question
- 91. Citizen Confirms Light Outage
- 92. Information is Shared by linked Agents
- 94. Reporting Agent gets Reply...
- 95. And Resolves Citizen Complaint ✔ ✔
- 96. Another way to know a Streetlight is Out
- 97. Again: Which of the Candidates is Out?
- 98. Answer: Interrogate Public Web Cams
- 99. Use View Cone to Contact a Web Cam
- 100. Streetlight and Web Cam Agents Connect
- 101. And Ask for Confirmation of Outage
- 102. …by Subscribing to just a few pixels…
- 103. QuickTime™ and a H.264 decompressor are needed to see this picture.
- 106. Subscribing to Camera Pixels
- 107. Yet another way to know if a Light is Out
- 108. Subscribing to a Smartphone Camera
- 109. Subscribing to a Smartphone Camera
- 110. Agents Mediate the Requests
- 111. By Asking for Permissions
- 112. Simple Agents for Smart Cities Conclusions and Future Research • Deploy Agents for Structures and Activities • Define the Agents API • Refine CK Console and Chrome Extension • Develop more Real-world Applications with Agents • Explore the Implications for City Government • Apply Complexity Theory to Urban Gradients Work closely with CASA!
Notas do Editor
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5:
- All categories of public art in the catalog
- Runs on a single machine or cluster Single domain Data limited to specific application “ Toy Models” Slide 3: City 3D (ca. 1980-90) – representing structures Slide 4: Evacuation (late 90’s) – Structures and activities Slide 5: