@conference {1509418,
	title = {Using Multiagent Teams to Improve the Training of Incident Commanders },
	booktitle = {Fifth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS) Industry Track},
	year = {2006},
	abstract = {The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from our interaction
with the Los Angeles Fire Department (LAFD) and how they have
affected the way that we continued the design of our training system. These lessons were gleaned from LAFD feedback and initial
training exercises and they include: system design, visualization,
improving trainee situational awareness, adjusting training level of
difficulty and situation scale. We have taken these lessons and used
them to improve the DEFACTO system{\textquoteright}s training capabilities. We
have conducted initial training exercises to illustrate the utility of
the system in terms of providing useful feedback to the trainee.},
	author = {Nathan Schurr and Pratik Patil and Fred Pighin and Tambe, Milind}
}
