autonomous urban agents and modeling with ambient computing
TRANSCRIPT
Autonomous Urban Agents and
Modeling with Ambient Computing
Stephen GuerinRedfish Group / Santa Fe Complex
Fabio CarreraWPI
Agent Based Modeling
Applied Complexity and Cities
Ambient Computing
SFCOMPLEX.ORG
SIMTABLE.COM
REDFISH.COM
FORMAURBIS.COM
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
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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 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
“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?
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
$
Pharmaceutical Research Project
cost
revenue
Eli Lilly R&D Workflow Simulation and Portfolio Scheduling
