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Autonomous Urban Agents and
Modeling with Ambient Computing
                    Stephen Guerin
       Redfish Group / Santa Fe Complex


                      Fabio Carrera
                                   WPI
Agent Based Modeling
Applied Complexity and Cities
Ambient Computing
REDFISH.COM



FORMAURBIS.COM




SIMTABLE.COM



SFCOMPLEX.ORG
biosgroup and icosystem
Flocking: Josh Thorp, stigmergic.net
MIT Reality Mining with Nathan Eagle
Agent Based Modeling
Applied Complexity and Cities
Ambient Computing
Agent-Based Modeling of Crowd Egress from PIttsburgh’s PNC Park
Roberto Clemente Bridge

Open to pedestrian traffic only

Fans use bridge to downtown
and to closest “T” stations
Processing.org
Empirical Traffic Flows for Calibration


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                                                                                                                                                                                                                                                      Date
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                                                                                                                                                                                                           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
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
Agent Based Modeling
Applied Complexity and Cities
Ambient Computing
Sandscape
Illuminating clay
Tangible Disaster Simulation System
Urban workbench
sandscape
Tangible Disaster Simulation System
Illuminating clay
i/o bulb
AnySurface:
Projector Camera Calibration for non-uniform surfaces
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
SFCOMPLEX.ORG




SIMTABLE.COM




REDFISH.COM




FORMAURBIS.COM
Agent Based Modeling
Applied Complexity and Cities
Ambient Computing
Extra: Artificial Life and Cities
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
Perform at least one thermodynamic work cycle


Work is the constrained release of energy


Perform work to construct constraints
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
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
“Steam Engines have taught us more about
thermodynamics than thermodynamics has taught
us about steam engines”
                                 - Harold Morowitz
Local entropy reduction balanced by greater
entropy production in the global system
Eli Lilly R&D Portfolio Scheduling



       Pharmaceutical Research Project



$
                                 revenue




    cost

                             time
Eli Lilly R&D Workflow Simulation and Portfolio Scheduling
Autonomous Urban Agents and Modeling with Ambient Computing

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Autonomous Urban Agents and Modeling with Ambient Computing

  • 1. Autonomous Urban Agents and Modeling with Ambient Computing Stephen Guerin Redfish Group / Santa Fe Complex Fabio Carrera WPI
  • 2. Agent Based Modeling Applied Complexity and Cities Ambient Computing
  • 5. Flocking: Josh Thorp, stigmergic.net
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  • 7. MIT Reality Mining with Nathan Eagle
  • 8. Agent Based Modeling Applied Complexity and Cities Ambient Computing
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  • 11. Agent-Based Modeling of Crowd Egress from PIttsburgh’s PNC Park
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  • 15. Roberto Clemente Bridge Open to pedestrian traffic only Fans use bridge to downtown and to closest “T” stations
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  • 34. 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
  • 35. 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
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  • 41. Agent Based Modeling Applied Complexity and Cities Ambient Computing
  • 42. Sandscape Illuminating clay Tangible Disaster Simulation System Urban workbench
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  • 54. AnySurface: Projector Camera Calibration for non-uniform surfaces
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  • 60. 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
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  • 64. Agent Based Modeling Applied Complexity and Cities Ambient Computing Extra: Artificial Life and Cities
  • 65. 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
  • 66. Perform at least one thermodynamic work cycle Work is the constrained release of energy Perform work to construct constraints
  • 67. 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
  • 68. 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
  • 69. “Steam Engines have taught us more about thermodynamics than thermodynamics has taught us about steam engines” - Harold Morowitz
  • 70. Local entropy reduction balanced by greater entropy production in the global system
  • 71. Eli Lilly R&D Portfolio Scheduling Pharmaceutical Research Project $ revenue cost time
  • 72. Eli Lilly R&D Workflow Simulation and Portfolio Scheduling