Autonomous Urban Agents and Modeling with Ambient Computing

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

Live Agent-based Model

biosgroup and icosystem

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

$

Pharmaceutical Research Project

cost

revenue

Eli Lilly R&D Workflow Simulation and Portfolio Scheduling

Using Google Maps for input and output of community models