synthetic training environment (U.S. Army Training Support Center)

Army wants automation for its training sim

The Army Research Lab is looking to use intelligent automation to reduce the manpower needed to design and run large-scale simulation-based training events.

In a call for white papers, ARL said it wants better systems integration, intelligent automation and improved user interfaces for its Synthetic Training Environment -- a capability that uses artificial intelligence, data analytics, machine learning, augmented reality and distributed computing for simulated training.

Even though STE includes training management tools to plan, prepare, execute and assess an event, putting on an event is still labor intensive, ARL said. Program leaders must develop training objectives, create  scenarios, monitor and control the exercise, observe and assess the performance of trainees and provide analysis and after-action review.

ARL said it is interested in using AI, machine learning and data sciences to speed the creation of training scenarios and deliver adaptive instruction, automated performance assessment, diagnosis and feedback for collective simulation-based training involving infantry, armored, aviation and mission command.

White paper submissions are due Jan. 18, 2019. Read the full notice here.

About the Author

Susan Miller is executive editor at GCN.

Over a career spent in tech media, Miller has worked in editorial, print production and online, starting on the copy desk at IDG’s ComputerWorld, moving to print production for Federal Computer Week and later helping launch websites and email newsletter delivery for FCW. After a turn at Virginia’s Center for Innovative Technology, where she worked to promote technology-based economic development, she rejoined what was to become 1105 Media in 2004, eventually managing content and production for all the company's government-focused websites. Miller shifted back to editorial in 2012, when she began working with GCN.

Miller has a BA and MA from West Chester University and did Ph.D. work in English at the University of Delaware.

Connect with Susan at [email protected] or @sjaymiller.


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