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A Real-Time Strategy Agent Framework And Strategy Classifier For Computer Generated Forces, Lyall J. Di Trapani
A Real-Time Strategy Agent Framework And Strategy Classifier For Computer Generated Forces, Lyall J. Di Trapani
Theses and Dissertations
This research effort is concerned with the advancement of computer generated forces AI for Department of Defense (DoD) military training and education. The vision of this work is agents capable of perceiving and intelligently responding to opponent strategies in real-time. Our research goal is to lay the foundations for such an agent. Six research objectives are defined: 1) Formulate a strategy definition schema effective in defining a range of RTS strategies. 2) Create eight strategy definitions via the schema. 3) Design a real-time agent framework that plays the game according to the given strategy definition. 4) Generate an RTS data …