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Demonstration of DEFACTO: training tool for incident commanders

Published: 25 July 2005 Publication History

Abstract

In the wake of large-scale national and international terrorist incidents, it is critical to provide first responders and rescue personnel with tools and techniques that will enable them to evaluate response readiness and tactics, measure inter-agency coordination and improve training and decision making capability. We focus in particular on building tools for training and tactics evaluation for incident commanders, who are in charge of managing teams of fire fighters at critical incidents. Such tools would provide intelligent software agents that simulate first responder tactics. decisions, and behaviors in simulated urban areas and allow the incident commander (human) to interact. These agents form teams, where each agent simulates a fire engine, which plans and acts autonomously in a simulated environment. Through interactions with these software agents, an incident commander can evaluate tactics and realize the consequences of key decisions, while responding to such disasters.

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Cited By

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  • (2016)Multiagent SystemsAdvanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence10.1002/9781119175391.ch20(903-930)Online publication date: 30-Sep-2016
  • (2008)Industrial deployment of multi-agent technologiesAutonomous Agents and Multi-Agent Systems10.1007/s10458-008-9050-017:3(397-431)Online publication date: 1-Dec-2008
  • (2007)Chapter 14 Government Agency Interoperation in Security ApplicationsNational Security10.1016/S1574-0145(06)02014-9(323-347)Online publication date: 2007
  • Show More Cited By

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cover image ACM Conferences
AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
July 2005
1407 pages
ISBN:1595930930
DOI:10.1145/1082473
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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Association for Computing Machinery

New York, NY, United States

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Published: 25 July 2005

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Cited By

View all
  • (2016)Multiagent SystemsAdvanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence10.1002/9781119175391.ch20(903-930)Online publication date: 30-Sep-2016
  • (2008)Industrial deployment of multi-agent technologiesAutonomous Agents and Multi-Agent Systems10.1007/s10458-008-9050-017:3(397-431)Online publication date: 1-Dec-2008
  • (2007)Chapter 14 Government Agency Interoperation in Security ApplicationsNational Security10.1016/S1574-0145(06)02014-9(323-347)Online publication date: 2007
  • (2005)Allocating tasks in extreme teamsProceedings of the fourth international joint conference on Autonomous agents and multiagent systems10.1145/1082473.1082584(727-734)Online publication date: 25-Jul-2005
  • (2005)Conflicts in teamworkProceedings of the fourth international joint conference on Autonomous agents and multiagent systems10.1145/1082473.1082474(3-10)Online publication date: 25-Jul-2005

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