Efficiency evaluation method of the US urban combat counter-terrorism detachment
In recent years,the U.S.Army Combat Capabilities Development Command and the Vanderbilt University have jointly carried out research on how to evaluate the efficiency of urban counter-terrorism detachments in a training environment that combines virtual and real scenarios.The joint research program is aimed to enhance the combat capability of the US Army in urban counter-terrorism operations and ensure its ability of delivery.Based on the theoretical foundation of distributed cognitive task analysis and multi-modal data,an external evaluation engine has been designed with the support of the General Intelligence Framework for Tutoring,which comprehensively utilizes machine learning algorithms to process such information as video,voice and simulated training logs.This helps evaluate the combat efficiency of a typical indoor clearance task in urban counter-terrorism operations.The system has a sound architecture,a high degree of intelligence and goodscalability.An in-depth study of the system architecture,key technologies and effects is conducted and conclusions have been drawn that can provide references for the evaluation of combat efficiency at the detachment level.
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维普
