autonomous urban agents and modeling with ambient computing
TRANSCRIPT
MIT Responsive City Seminar
Autonomous Urban Agents and Modeling with Ambient
ComputingStephen Guerin
Redfish Group / Santa Fe Complex
Fabio CarreraWPI
Agent Based ModelingApplied Complexity and CitiesAmbient Computing
SFCOMPLEX.ORG
SIMTABLE.COM
REDFISH.COM
FORMAURBIS.COM
Flocking: Josh Thorp, stigmergic.net
MIT Reality Mining with Nathan Eagle
Agent Based ModelingApplied Complexity and CitiesAmbient Computing
Zozobra Crowd Dynamics
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
Modeling Workflow
DC Metro Subway
Santa Fe on FireABM of Wildfire Evacuation
“Time of Arrival” Map
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Empirical Traffic Flows for Calibration
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 ModelingApplied Complexity and CitiesAmbient Computing
Inspirations for Ambient / Tangible
SandscapeIlluminating clayTangible Disaster Simulation SystemUrban workbench
sandscape
Tangible Disaster Simulation System
Illuminating clay
i/o bulb
AnySurface: Projector Camera Calibration for non-uniform surfaces
ABM and Venice Boat Traffic
Canal Logistics Venice, Italy
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 ModelingApplied Complexity and CitiesAmbient ComputingExtra: Artificial Life and Cities
“a thermodynamic limit cycle can be advanced as the basic unit of action of physically autonomous systems”
Kugler, Kelso & Turvey, 1980, 1982
Do all agents cycle to work?
Living SystemKauffman’s Autonomous Agents
Perform at least one thermodynamic work cycle
Work is the constrained release of energy
Perform work to construct constraints
"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."
Boltzmann, 1886
"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
time
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Pharmaceutical Research Project
cost
revenue
Eli Lilly R&D Workflow Simulation and Portfolio Scheduling
Using Google Maps for input and output of community models