@conference {1509751,
	title = {The DEFACTO System: Training Tool for Incident Commanders },
	booktitle = {Innovative Applications of Artificial Intelligence (IAAI{\textquoteright}05)},
	year = {2005},
	abstract = {Techniques for augmenting the automation of routine coordination are rapidly reaching a level of effectiveness where they
can simulate realistic coordination on the ground for large
numbers of emergency response entities (e.g. fire engines,
police cars) for the sake of training. Furthermore, it seems
inevitable that future disaster response systems will utilize
such technology. We have constructed a new system, DEFACTO (Demonstrating Effective Flexible Agent Coordination of Teams through Omnipresence), that integrates stateof-the-art agent reasoning capabilities and 3D visualization
into a unique high fidelity system for training incident commanders. The DEFACTO system achieves this goal via three
main components: (i) Omnipresent Viewer - intuitive interface, (ii) Proxy Framework - for team coordination, and (iii)
Flexible Interaction - between the incident commander and
the team. We have performed detailed preliminary experiments with DEFACTO in the fire-fighting domain. In addition, DEFACTO has been repeatedly demonstrated to key police and fire department personnel in Los Angeles area, with
very positive feedback.},
	author = {Nathan Schurr and Janusz Marecki and Paul Scerri and J. P. Lewis and Tambe, Milind}
}
