Autonomous Urban Agents and Modeling with Ambient Computing

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MIT responsive cities lecture. examples of agent-based modeling of urban systems, wildfire simulation and ambient computing using digital 3D sandtable

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Autonomous Urban Agents and Modeling with Ambient Computing

  1. 1. Autonomous Urban Agents and Modeling with Ambient Computing Stephen Guerin Redfish Group / Santa Fe Complex Fabio Carrera WPI
  2. 2. Agent Based Modeling Applied Complexity and Cities Ambient Computing
  3. 3. REDFISH.COM FORMAURBIS.COM SIMTABLE.COM SFCOMPLEX.ORG
  4. 4. biosgroup and icosystem
  5. 5. Flocking: Josh Thorp, stigmergic.net
  6. 6. MIT Reality Mining with Nathan Eagle
  7. 7. Agent Based Modeling Applied Complexity and Cities Ambient Computing
  8. 8. Agent-Based Modeling of Crowd Egress from PIttsburgh’s PNC Park
  9. 9. Roberto Clemente Bridge Open to pedestrian traffic only Fans use bridge to downtown and to closest “T” stations
  10. 10. Processing.org
  11. 11. Empirical Traffic Flows for Calibration 8000 9000 7000 8000 7000 6000 6000 5000 Traffic Volume Traffic Volume 5000 4000 4000 3000 3000 2000 2000 1000 1000 0 0 00:00 - 01:00 04:00 - 05:00 08:00 - 09:00 12:00 - 13:00 16:00 - 17:00 20:00 - 21:00 9/1/2006 9/5/2006 9/9/2006 9/13/2006 9/17/2006 9/21/2006 Date Time of Day Left Turn Thru 1 Thru 2 Thru 3 0 0 0 0 0 0 Left Turn Thru 1 Thru 2 Thru 3 0 0 0 0 0 0
  12. 12. Cova, T.J., and Church, R.L. (1997) Modelling community evacuation vulnerability using GIS. International Journal of Geographical Information Science, 11(8): 763-784 Cova, T.J., and Johnson, J.P. (2002) Microsimulation of neighborhood evacuations in the urban-wildland interface. Environment and Planning A, 34(12): 2211-2229 Cova, T.J., and Johnson, J.P. (2003) A network flow model for lane-based evacuation routing. Transportation Research Part A: Policy and Practice, 37(7): 579-604 Cova, T.J. (2005) Public safety in the urban-wildland interface: Should fire-prone communities have a maximum occupancy? Natural Hazards Review, 6(3): 99-108 Cova, T.J., Dennison, P.E., Kim, T.H., and Moritz, M.A. (2005) Setting wildfire evacuation trigger-points using fire spread modeling and GIS. Transactions in GIS, 9(4): 603-617
  13. 13. Agent Based Modeling Applied Complexity and Cities Ambient Computing
  14. 14. Sandscape Illuminating clay Tangible Disaster Simulation System Urban workbench
  15. 15. sandscape
  16. 16. Tangible Disaster Simulation System
  17. 17. Illuminating clay
  18. 18. i/o bulb
  19. 19. AnySurface: Projector Camera Calibration for non-uniform surfaces
  20. 20. NON PROFIT 501C3 IN SANTA FE RAILYARD COMMUNITY WORKSHOP FOR PROJECT-BASED WORK IN APPLIED COMPLEXITY HOST MONTHLY CNLS Q-BIOS LECTURE SERIES FOSTER COLLABORATIONS ACROSS SCIENCE, TECHNOLOGY AND ART
  21. 21. SFCOMPLEX.ORG SIMTABLE.COM REDFISH.COM FORMAURBIS.COM
  22. 22. Agent Based Modeling Applied Complexity and Cities Ambient Computing Extra: Artificial Life and Cities
  23. 23. Do all agents cycle to work? “a thermodynamic limit cycle can be advanced as the basic unit of action of physically autonomous systems” Kugler, Kelso &Turvey, 1980, 1982
  24. 24. Perform at least one thermodynamic work cycle Work is the constrained release of energy Perform work to construct constraints
  25. 25. quot;The general struggle for existence of animate beings is therefore not a struggle for raw materials - these, for organisms, are air, water and soil, all abundantly available - nor for energy which exists in plenty in any body in the form of heat (albeit unfortunately not transformable), but a struggle for entropy, which becomes available through the transition of energy from the hot sun to the cold earth.quot; Boltzmann, 1886
  26. 26. quot;the only way a living system stays alive, away from maximum entropy or death is to be continually drawing from its environment negative entropy. Thus the devise by which an organism maintains itself stationary at a fairly high level of orderliness (= fairly low level of entropy) really consists in continually sucking orderliness from its environment.“ Schrödinger,1944
  27. 27. “Steam Engines have taught us more about thermodynamics than thermodynamics has taught us about steam engines” - Harold Morowitz
  28. 28. Local entropy reduction balanced by greater entropy production in the global system
  29. 29. Eli Lilly R&D Portfolio Scheduling Pharmaceutical Research Project $ revenue cost time
  30. 30. Eli Lilly R&D Workflow Simulation and Portfolio Scheduling

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