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Squad Modeling and Simulation for Analysis of Materiel and Personnel Solutions
ARMY ARMAMENT RESEARCH DEVELOPMENT AND ENGINEERING CENTER PICATINNY ARSENAL NJ TARGET BEHAVIORAL RESPONSE LAB
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This presentation proposes development of methods of MS analysis of materiel and personnel solutions for Squad decisiveness. As part of the ARDEC contribution to the effort, the Target Behavioral Response Laboratory TBRL was tasked with development of methods to incorporate laboratory data from human experimentation into the IWARS. This presentation will be on a literature review in support of this effort. The main goals of this literature review are to determine 1 entry-points for data into IWARS, 2 appropriate data for collection under laboratory conditions for entry into IWARS, 3 empirically derived quantitative relationships among leadership, training, and cohesiveness measures and Squad performance that can be entered into IWARS. Results It is possible to use modeling and simulation methods in systems engineering data-based analyses of solutions relevant to Squad performance. The most information for model development and simulation is gained by configuring fine-grained data collection under real operational circumstances, realistic operational training, or under controlled laboratory conditions. Use of archival data for solution effect on Squad performance is not at a high enough resolution for insertion into the IWARS simulation application. Inserting data that has been specifically collected for insertion into IWARS is the most valid approach for seeding simulations versus use of data collected for other uses. Based on this brief review of the literature, these recommendations can be made. Design of data collection should be performed by behavioral scientists using human experimentation methods in collaboration with computational engineers familiar with IWARS or the simulation program to be used for analysis. Standardized methods and paradigms for laboratory testing of effects of materiel and personnel solutions for Squad performance and insertion into modeling and simulation should be developed.
APPROVED FOR PUBLIC RELEASE