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Surv."],"published-print":{"date-parts":[[2012,11]]},"abstract":"<jats:p>When attempting to determine how to respond optimally to a large-scale emergency, the ability to predict the consequences of certain courses of action<jats:italic>in silico<\/jats:italic>is of great utility. Agent-based simulations (ABSs) have become the de facto tool for this purpose; however, they may be used and implemented in a variety of ways. This article reviews existing implementations of ABSs for large-scale emergency response, and presents a taxonomy classifying them by usage. 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