Challenge
The
Aegis weapons command and control system, used on U.S. Navy
destroyers and cruisers, can also run embedded war-game simulations
to provide training opportunities at-sea. But training is limited
because supervisors aren’t always available, and even
when they are, the training can be inconsistent.
Aegis
team training needs to be more automated and to provide on-line
and after action feedback to individual watch standers as well
as to the team. Conventional intelligent tutoring methods were
not scalable to the complexity and openness of the Aegis training
system, so new solutions were required.
Result
The Advanced Embedded Training System (AETS) provides simulation-based
training and adds automated instruction, diagnosis, and training
feedback to the built-in war-game simulation capability in Aegis.
The diagnosis and instruction capabilities in AETS are generated
by software models that simulate expert Aegis operators and
training instructors. To build these models, the Naval Air Warfare
Center Training Systems Division chose COGNET and iGEN.
A team from the CHI Systems Cognitive Engineering Practice conducted
Cognitive Task Analysis (CTA) of Aegis operator and Aegis training
instructor expertise. The team used the CTA data to build iGEN-based
cognitive agents that could tell AETS what the trainees should
be doing at any point in a war-game scenario, and what knowledge
they should be using to decide on and execute those actions.
The CHI Systems team worked closely with the system integrator,
Lockheed-Martin Advanced Technology Laboratory, to successfully
integrate the cognitive agents into the AETS.
Reference
Zachary, W., Cannon-Bowers, J., Bilazarian, P., Krecker, D.,
Lardieri, P., & Burns, J. (1999). The Advanced Embedded
Training System (AETS): An intelligent embedded tutoring system
for tactical team training. International Journal of Artificial
Intelligence in Education, 10, 257-277.
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