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City Knowledge                                                                Fabio Carrera                               ...
Steve Guerin•   Santa Fe Complex•   Redfish.com•   BIOS group•   SFI Complexity Summer School•   Simtable.comFabio Carrera...
BACKGROUNDComplex Adaptive Systems          City Knowledge
Boids        josh@stigmergic.net
Antzdual gradients in ant foraging algorithm
Science of Cities – metabolic approach• Gradients cause spontaneous entropy-increasing flows• Non-spontaneous entropy-redu...
OUR EARLY CITY MODELS    Thin Agents (vs. “Thick”)          Early Applications              Limited Domains           Limi...
2D Crowd Evacuations (90‟s)
Crowd Dynamics 2.5D space („04)
Crowd Egress from Pittsburgh’s PNC Park
Pedestrians and Changing Space („06)
THE CITY KNOWLEDGE PLATFORM        Urban Agents for Structures             Backlog vs. New Data                      Admin...
Urban Agents for Structures
The City Knowledge Platform
Technology “under the hood”
Uploading the “Backlog”
The City Knowledge Console                           Insert “Backlog”                        One City = One Map      One W...
Inputs and Outputs
Administrative Data                 Energence.co.uk
“Humans as Sensors”                      StreetBump
Citizen Data (Apps)“Human in the Loop”                  InputApp.com
“Real Time” Updates                      PreserVenice
Live Wiki Pages                  Venipedia.org
CITY KNOWLEDGE + CITY MODELS
INTERACTING WITH MODELS           Ambient Computing
INTERACTING WITH MODELSmobile devices and HTML5 models in the browser
Browser View                Mobile Controller                                 no App to installapps.simtable.com/flyto    ...
http://apps.simtable.com/parkcity/
BEYOND MODELINGAgent-Oriented Programming of the City
• Citizens’ direct and unmediated interaction  with the City• Citizens as Sensors and Actuators• Regulation and urban stru...
THANK YOUFabio Carreracarrera@wpi.eduvenice2point0.blogspot.comvenice2point0.orgwww.wpi.edu/~carreraStephen Guerinstephen@...
EXTRA BONUS MATERIAL       DIRECTOR‟S CUT
65
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
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ECAI smart cities 2012

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Presentation given at European Conference on Artificial Intelligence in Montpellier, FR for the workshop I co-chaired on Intelligent Agents in Urban Simulations and Smart Cities.
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ECAI smart cities 2012

  1. 1. City Knowledge Fabio Carrera Stephen GuerinIntelligent Agents for Urban Simulations and Smart Cities workshopEuropean Conference on Artificial Intelligence Montpellier, France: August 27-31, 2012
  2. 2. Steve Guerin• Santa Fe Complex• Redfish.com• BIOS group• SFI Complexity Summer School• Simtable.comFabio Carrera• Associate Professor at WPI• BSEE, MSCS (WPI)• PhD in Urban Information Systems and Planning (MIT)• FormaUrbis.com• Venice and Santa Fe Project Centers (WPI)
  3. 3. BACKGROUNDComplex Adaptive Systems City Knowledge
  4. 4. Boids josh@stigmergic.net
  5. 5. Antzdual gradients in ant foraging algorithm
  6. 6. Science of Cities – metabolic approach• Gradients cause spontaneous entropy-increasing flows• Non-spontaneous entropy-reducing processes are driven bygradient
  7. 7. OUR EARLY CITY MODELS Thin Agents (vs. “Thick”) Early Applications Limited Domains Limited # of Agents
  8. 8. 2D Crowd Evacuations (90‟s)
  9. 9. Crowd Dynamics 2.5D space („04)
  10. 10. Crowd Egress from Pittsburgh’s PNC Park
  11. 11. Pedestrians and Changing Space („06)
  12. 12. THE CITY KNOWLEDGE PLATFORM Urban Agents for Structures Backlog vs. New Data Admin Data Sensors Apps
  13. 13. Urban Agents for Structures
  14. 14. The City Knowledge Platform
  15. 15. Technology “under the hood”
  16. 16. Uploading the “Backlog”
  17. 17. The City Knowledge Console Insert “Backlog” One City = One Map One Wiki Page for each Urban Element
  18. 18. Inputs and Outputs
  19. 19. Administrative Data Energence.co.uk
  20. 20. “Humans as Sensors” StreetBump
  21. 21. Citizen Data (Apps)“Human in the Loop” InputApp.com
  22. 22. “Real Time” Updates PreserVenice
  23. 23. Live Wiki Pages Venipedia.org
  24. 24. CITY KNOWLEDGE + CITY MODELS
  25. 25. INTERACTING WITH MODELS Ambient Computing
  26. 26. INTERACTING WITH MODELSmobile devices and HTML5 models in the browser
  27. 27. Browser View Mobile Controller no App to installapps.simtable.com/flyto just a mobile URL apps.simtable.com/flyto/control
  28. 28. http://apps.simtable.com/parkcity/
  29. 29. BEYOND MODELINGAgent-Oriented Programming of the City
  30. 30. • Citizens’ direct and unmediated interaction with the City• Citizens as Sensors and Actuators• Regulation and urban structure evolves through “dissipation of gradients”• Transition from “agent-based modeling” to “agent-oriented programming”
  31. 31. THANK YOUFabio Carreracarrera@wpi.eduvenice2point0.blogspot.comvenice2point0.orgwww.wpi.edu/~carreraStephen Guerinstephen@redfish.comwww.redfish.comwww.sfcomplex.org
  32. 32. EXTRA BONUS MATERIAL DIRECTOR‟S CUT
  33. 33. 65

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