Toward Adaptive Cooperative Behavior
نویسنده
چکیده
We analyze the Iterated Prisoner’s Dilemma and the performance of GRADUAL, the best behavior found so far. This behavior has the undesirable property of permanent memory, which would be detrimental for stability. As a solution to the permanent memory problem, we propose an adaptive tit-for-tat behavior that uses a self-regulated estimate of the opponent’s friendliness. On a second level, we demonstrate that an additional self-regulation loop, parallel to the first, is necessary to ensure performance comparable to GRADUAL’s. A number of theoretical conclusions are drawn, the most prominent being that the actual cooperative potential of the behavior is the by-product of the double self-regulation loop and that the second regulation loop concerns the parameters that define the temporal dynamics of behavior. Our results trigger a discussion on stability as well as on the nature of the cooperation problem itself.
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