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City Knowledge
                                                                Fabio Carrera
                                                              Stephen Guerin




Intelligent Agents for Urban Simulations and Smart Cities workshop
European Conference on Artificial Intelligence   Montpellier, France: August 27-31, 2012
Steve Guerin
•   Santa Fe Complex
•   Redfish.com
•   BIOS group
•   SFI Complexity Summer School
•   Simtable.com


Fabio 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)
BACKGROUND


Complex Adaptive Systems
          City Knowledge
Boids




        josh@stigmergic.net
Antz




dual gradients in ant foraging algorithm
Science of Cities – metabolic approach




• Gradients cause spontaneous entropy-increasing flows
• Non-spontaneous entropy-reducing processes are driven by
gradient
OUR EARLY CITY MODELS


    Thin Agents (vs. “Thick”)

          Early Applications
              Limited Domains
           Limited # of Agents
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 Data
                          Sensors
                            Apps
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 Wiki Page for each Urban Element
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 MODELS


mobile devices and HTML5 models in the browser
Browser View                Mobile Controller


                                 no App to install
apps.simtable.com/flyto         just a mobile URL


                          apps.simtable.com/flyto/control
http://apps.simtable.com/parkcity/
BEYOND MODELING


Agent-Oriented Programming of the City
• 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”
THANK YOU
Fabio Carrera
carrera@wpi.edu
venice2point0.blogspot.com
venice2point0.org
www.wpi.edu/~carrera

Stephen Guerin
stephen@redfish.com
www.redfish.com
www.sfcomplex.org
EXTRA BONUS MATERIAL
       DIRECTOR‟S CUT
65
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012
ECAI smart cities 2012

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ECAI smart cities 2012

Notas del editor

  1. Runs on a single machine or clusterSingle domainData limited to specific application“Toy Models”Slide 3: City 3D (ca. 1980-90) – representing structuresSlide 4: Evacuation (late 90’s) – Structures and activitiesSlide 5: