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Why Coevolution Doesn't 'Work': Superiority and Progress in Coevolution

机译:为什么共参数不会“工作”:参与的优越性和进步

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Coevolution often gives rise to counter-intuitive dynamics that defy our expectations. Here we suggest that much of the confusion surrounding coevolution results from imprecise notions of superiority and progress. In particular, we note that in the literature, three distinct notions of progress are implicitly lumped together: local progress (superior performance against current opponents), historical progress (superior performance against previous opponents) and global progress (superior performance against the entire opponent space). As a result, valid conditions for one type of progress are unduly assumed to lead to another. In particular, the confusion between historical and global progress is a case of a common error, namely using the training set as a test set. This error is prevalent among standard methods for coevolutionary analysis (CIAO, Master Tournament, Dominance Tournament, etc.) By clearly defining and distinguishing between different types of progress, we identify limitations with existing techniques and algorithms, address them, and generally facilitate discussion and understanding of coevolution. We conclude that the concepts proposed in this paper correspond to important aspects of the coevolutionary process.
机译:共面经常引起反向直观的动态,无视我们的期望。在这里,我们建议大部分混乱围绕的共同情调是由不精确的优越性和进步的概念。特别是,我们注意到,在文献中,三个不同的进展概念被隐含地集成在一起:地方进步(对目前对手的卓越表现),历史进步(对前对手的卓越表现)和全球进步(对整个对手的卓越性能) )。结果,过度假设一种类型进展的有效条件导致另一个进展。特别是,历史和全球进度之间的混淆是常见错误的情况,即使用培训集作为测试集。通过在不同类型的进度之间清晰地定义和区分,识别与现有技术和算法的限制,这种错误在共同定义和区分中,这种错误是普遍的。识别和区分,普遍存在的分析分析(Ciao,Master锦标赛,优势锦标赛等)。与现有技术和算法,解决它们,并且通常促进讨论和理解参数。我们得出结论,本文提出的概念对应于共施加过程的重要方面。

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