When attempting to determine how to respond optimally to a large-scale emergency, the abilityto predict the consequences of certain courses of action in silico is of great utility. Agent-basedsimulations (ABSs) have become the de facto tool for this purpose, however they may be used and implemented in a variety of ways. This paper reviews existing implementations of ABSs for large scale emergency response, and presents a taxonomy classifying them by usage. Opportunities for improving ABS for large-scale emergency response are identified.
|Journal||Computing Surveys (Association for Computing Machinery)|
|Publication status||Published (in print/issue) - 1 Nov 2012|