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This paper proposes a new approach for the non-supervised learning process of multiagent player systems operating in a high performance environment, being that the cooperative agents are trained so as to be expert in specific stages of a game. This proposal is implemented by means of the Checkers automatic player denominated D-MA-Draughts, which is composed of 26 agents. The first is specialized in...