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In this paper, we present a new paradigm of searching optimal strategies in the game of iterated prisoner's dilemma (IPD) using multiple-objective evolutionary algorithms. This method is more useful than the existing approaches, because it not only produces strategies that perform better in the iterated game but also finds a family of nondominated strategies, which can be analyzed to decipher properties...
In this paper, we present a new paradigm of searching optimal strategies in the game of iterated prisoner's dilemma using multiple objective evolutionary algorithms. This method is better than the existing approaches, because it not only gives strategies which perform better in the iterated game, but also gives a family of non-dominated strategies, which can be analyzed to see what properties a strategy...
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