Target selection schemes
Hughes, Bernard C., Jr.
Barr, Donald R.
Keller, Robert L.
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This thesis investigates and subjectively evaluates four high resolution combat models' algorithmic depiction of a direct firer's target selection under combat conditions. The target selection algorithms of the Janus(T), Janus(L), Carmonette, and STAR models are investigated in detail. The models' target selection algorithms are analyzed first with respect to a direct firer's target selection as dictated by doctrine and then compared with each other. The evaluation showed there is a parallelism between the model builders decision logic and doctrinal rules. The benefits derived from target selection algorithms far outweigh their inability to accurately depict the intangible variables of actual combat. Use of the models allow the Army's leaders to sharpen their tactical skills and provide a means to analyze results of combat decisions in a non-combat environment.
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