While much work has been done in the development of intelligent agents for "classic" board games (e.g., Chess, Checkers, Othello), there have been many games developed in recent years that have not received as much attention. These games usually include large amounts of randomness or non-public information and often have interesting underlying theoretical structure. In this paper, we investigate a game called Football Strategy, which can be viewed as having similar structure to a normal-form game. We discuss the game-theoretic techniques used to arrive at a mixed strategy to play the game. We also discuss the methods used to incorporate information about the game which are not easily represented in game-theoretic ways into our agent. Our agent was evaluated by playing against one of the world's top players, and gave him a competitive game.
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