@Article{ingebretsen07a,
  author =	 {Mark Ingebretsen and Maya Dollarhide},
  title =	 {Multiagent System Helps Train for the Unthinkable},
  journal =	 {{IEEE} Intelligent Systems},
  volume =	 22,
  number =	 5,
  year =	 2007,
  issn =	 {1541-1672},
  pages =	 {4--7},
  doi =		 {10.1109/MIS.2007.90},
  publisher =	 {IEEE Computer Society},
  address =	 {Los Alamitos, CA, USA},
  abstract =	 {The first news story, "Multiagent System Helps Train
                  for the Unthinkable," looks at DEFACTO, a prototype
                  firefighter-training system that simulates multiple
                  disasters in a city. The second news story, "The
                  Berkeley Parser: High-Quality Grammar,
                  Automatically," reports on a system that
                  automatically learns a language's grammar and then
                  determines the most likely structure of a sequence
                  of words in that language.},
  url = 	 {http://jmvidal.cse.sc.edu/library/ingebretsen07a.pdf},
}