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Summary Of: Agent based modeling
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simulating
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emergence
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computational sociology
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multi agent systems
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evolutionary programming
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Monte Carlo Methods
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emergence
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Stanisław Ulam
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cellular automata
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John Conway
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Game of Life
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checkerboard
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Craig Reynolds
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artificial life
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Christopher Langton
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Joshua M. Epstein
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Kathleen Carley
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Carnegie Mellon University
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National Science Foundation
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University of Chicago
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Argonne National Laboratory
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Emory University
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George Mason University
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Ron Sun
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UCLA
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equilibrium
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emergence
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complexity
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game theory
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Situated
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algorithmic
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inductive
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Internet
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power law distributions
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supply chain optimization
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logistics
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consumer behavior
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word of mouth
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distributed computing
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workforce management
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portfolio management
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traffic congestion
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immune system
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NetLogo
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StarLogo
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Swarm Development Group
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Objective C
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Java
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Repast
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C++
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natural resources
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rural development
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ecology
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Smalltalk
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GPUs
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Rutgers University
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October 6
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2003
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National Academy of Sciences
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May 14
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2002
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United States Department of Transportation
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Adaptive Modeler
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GPU
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ABM Software Comparison
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agent-based computational economics (ACE)
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artificial life
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artificial society
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boids
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complex system
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computational sociology
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dynamic network analysis
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emergence
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evolutionary algorithm
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flocking
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Generative sciences
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Multi-agent system
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simulated reality
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social complexity
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social simulation
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software agent
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Argonne National Laboratory
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This article is licensed under the
GNU Free Documentation License
. It uses material from the
Wikipedia article "Agent based modeling"
.
