Disasters, whether natural or human-made, may strike at any time. The better prepared emergency crews and public officials are, the more successful their responses will be. Writing for Science magazine, Mitchell Waldrop explains how a new digital simulation technique – agent-based modeling – is helping researchers and public officials anticipate disaster outcomes and tackle real-world problems with greater speed, accuracy and effectiveness. getAbstract recommends this fascinating article to public officials and anybody looking for ways to model the world’s complexity.
In this summary, you will learn
- How agent-based models simulate real-world disasters;
- Why agent-based models deliver superior results compared to traditional fixed-scenario simulations; and
- How agent-based computer simulations can help epidemiologists save lives.
About the Author
M. Mitchell Waldrop is a journalist based in Washington, DC.