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Although the employment of fire support is a staple of modern military doctrine, today's constructive combat simulations depend on meticulous human input to generate any appropriate fire support plans. This status quo can be improved through AI techniques. We implement models of tactical risk, reduction of risk, and suppression effects in a representative combat simulation, as well as a greedy fire support planning algorithm that leverages these concepts. The algorithm is theoreticallydoi:10.1609/aiide.v12i1.12867 fatcat:yh5qfjhs3rdchnk2djy7r5m27y