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Computational military tactical planning system
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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In this paper we describe a series of algorithms that generate real-valued attributes used to classify tactical situations using an unsupervised machine learning system. Attributes for the classification of tactical situations include anchored and unanchored flanks, choke points, restricted avenues of attack and retreat, and interior line of support.