Modeling and Simulation

HumRRO scientists have developed mathematical modeling and conducted statistical analyses to understand and improve the performance of human systems. The results of these models can support policy decisions, aid in system design and evaluation, and forecast individual and group actions. Other models have been used to represent structural descriptions of human abilities, interests, and temperaments; dynamic simulations of skill acquisition, retention, and performance; and more global models of human systems. An important component of our activities is the evaluation of modeling and simulation technology for training. In the policy arena, we collect and analyze data to support policy analysis or corporate decision making. We employ a variety of modeling and simulation techniques, including system process models, discrete event and system dynamics simulations, statistical discrete choice models, Bayesian belief networks, and decision and judgment analysis.