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We investigate reduction of the complexity of a multi-agent adversarial search in the domain of n-player games. We describe a method that decomposes the game into a set of smaller overlapping sub-games, solves each sub-game separately, and then combines the results into a global solution. This way, the exponential dependence of the adversarial search complexity on the number of agents can be reduced...