Sampling the Threat Domain for Efficient Tank Gunnery Training and Testing
Abstract
This research proposes methods for specifying realistic threat-based conditions under which to conduct training and testing. Selection of conditions for training focused on the Mission Essential Task List (METL). Platoon, crew, and individual tasks were included. The procedure was designed to be sensitive to differences in initial task proficiency and difficulty in the importance of tasks depending on the unit's METL. To develop methods, researchers, constructed an algorithm to estimate potential proficiency gains for platoon, crew, and individual tasks that could occur from practicing each of the threat engagements. The algorithm is iterative; on each iteration it selects that engagement that is predicted to provide the maximum payoff in total expected proficiency gain weighted by importance. Subsequent iterations recalculate expected proficiency gains to adjust for the gain expected from the engagements already selected. Thus, the algorithm identifies the rank order of engagements for maximizing proficiency gains on important and poorly performed tasks. The algorithm was implemented in a BASIC computer program. Additional support programs were written to input and update changes in tasks and engagements. The BASIC program should allow unit commanders to rapidly determine which threat- based engagements to use to provide the most beneficial context for training gunnery tasks most closely related to their METL. (sdw)
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1990
- Accession Number
- ADA220612
Entities
People
- Charlotte H. Campbell
- R. G. Hoffman
Organizations
- Human Resources Research Organization