Agents and Decision Trees from Microdata
نویسندگان
چکیده
This paper discusses the development of a model of the household migration behavior of a nation’s population. From information synthesized from across available microdata sources which are each temporally, spatially, or topically inconsistent in coverage, we learned decision trees and instantiated agents in an agent-based model. The generative results of the whole-country simulation of this ABM mimicked the observed macro-level findings, engendering confidence in this method to develop agents and decision trees from microdata.
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