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Using multiagent teams to improve the training of incident commanders

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Published:08 May 2006Publication History

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'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.

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        cover image ACM Conferences
        AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
        May 2006
        1631 pages
        ISBN:1595933034
        DOI:10.1145/1160633

        Copyright © 2006 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 May 2006

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        Overall Acceptance Rate1,155of5,036submissions,23%

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