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Using multiagent teams to improve the training of incident commanders

Published: 08 May 2006 Publication 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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  • (2018)Concepts, Tools and Methods for Crisis Management TrainingDecision‐making in Crisis Situations10.1002/9781119557869.ch1(1-33)Online publication date: 12-Oct-2018
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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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 May 2006

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Cited By

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  • (2018)Concepts, Tools and Methods for Crisis Management TrainingDecision‐making in Crisis Situations10.1002/9781119557869.ch1(1-33)Online publication date: 12-Oct-2018
  • (2017)Training decision-makers: Existing strategies for natural and technological crisis management and specifications of an improved simulation-based toolSafety Science10.1016/j.ssci.2016.03.02597(144-153)Online publication date: Aug-2017
  • (2014)Cross-cultural time sensitivity in a bilateral e-negotiation system8th International Conference on e-Commerce in Developing Countries: With Focus on e-Trust10.1109/ECDC.2014.6836766(1-6)Online publication date: Apr-2014
  • (2012)Design Principles of Integrated Information Platform for Emergency Responses: The Case of 2008 Beijing Olympic GamesInformation Systems Research10.1287/isre.1110.038723:3-part-1(761-786)Online publication date: Sep-2012
  • (2012)Autonomy Spectrum and Performance Perception Issues in Swarm Supervisory ControlProceedings of the IEEE10.1109/JPROC.2011.2174103100:3(590-603)Online publication date: Mar-2012
  • (2012)Human-agent teamwork in dynamic environmentsComputers in Human Behavior10.1016/j.chb.2011.08.00628:1(23-33)Online publication date: 1-Jan-2012
  • (2011)An Adaptive Agent for Negotiating with People in Different CulturesACM Transactions on Intelligent Systems and Technology10.1145/2036264.20362723:1(1-24)Online publication date: 1-Oct-2011
  • (2010)Function allocation for NextGen airspace via agentsProceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Industry track10.5555/1838194.1838202(1731-1738)Online publication date: 10-May-2010
  • (2010)Agent decision-making in open mixed networksArtificial Intelligence10.1016/j.artint.2010.09.002174:18(1460-1480)Online publication date: 1-Dec-2010
  • (2009)Improving adjustable autonomy strategies for time-critical domainsProceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 110.5555/1558013.1558061(353-360)Online publication date: 10-May-2009
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