2015
WAMS 2015 Proceeding
Adaptive simulation-based training for a complex world
Authors: Latika Eifert, Jonathan Stevens, Dean Reed, Oleg Umanskiy, Boris Stilman
Abstract
The U.S. Army must operate in a highly complex world and dynamic operational environment (OE). In order to maintain pace with a rapidly evolving OE, the Army must distribute training and education to its soldiers and leaders at the point of need. The Linguistic Geometry Real-time Adversarial Intelligence & Decision-making (LG-RAID) simulation supports this goal and is being developed for the Army to train leaders to rapidly develop tactically sound plans. The LG-RAID simulation is a planning tool for Army leaders that semi-automatically generates enemy estimates in a semi-immersive setting. The tool accurately anticipates the enemy's actions, reactions and counter-actions, resulting in the development of a qualitatively better tactical plan. In this paper, we discuss the development and design of the simulation to meet the Army's objective of training leaders to meet the challenges of a complex OE. We also discourse on development and design challenges faced and the future employment of the simulation to meet the Army's objective.
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