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Introduction to Spatial Agent-Based Models Part 2
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How Do Agent-Based Models Work? – In the second video of this two-part series, Dr. Nicholas R. Magliocca continues with his overview of the basics of spatial agent-based models (ABMs) within the context of socio-environmental systems. Here, Dr. Magliocca discusses: 1) the core components of an ABM; 2) how they work; 3) and some applications that illustrate the flexibility of ABMs.
SESYNC is supported by awards from the U.S. National Science Foundation (grants DBI-1052875 and DBI-1639145) to the University of Maryland.
SESYNC is supported by awards from the U.S. National Science Foundation (grants DBI-1052875 and DBI-1639145) to the University of Maryland.