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From the Cover: Algorithms games and evolution

机译:从封面开始:算法游戏和进化

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摘要

Even the most seasoned students of evolution, starting with Darwin himself, have occasionally expressed amazement that the mechanism of natural selection has produced the whole of Life as we see it around us. There is a computational way to articulate the same amazement: “What algorithm could possibly achieve all this in a mere three and a half billion years?” In this paper we propose an answer: We demonstrate that in the regime of weak selection, the standard equations of population genetics describing natural selection in the presence of sex become identical to those of a repeated game between genes played according to multiplicative weight updates (MWUA), an algorithm known in computer science to be surprisingly powerful and versatile. MWUA maximizes a tradeoff between cumulative performance and entropy, which suggests a new view on the maintenance of diversity in evolution.
机译:甚至从达尔文本人开始,最有经验的进化学生也偶尔会感到惊讶,自然选择的机制在我们周围看到了整个生命。有一种计算方法可以表达出同样的惊奇:“什么算法在短短的三年半时间内可以实现所有这些?”在本文中,我们提出一个答案:我们证明,在弱选择的情况下,描述性别存在下自然选择的种群遗传学标准方程与根据乘性权重更新(MWUA)进行的基因之间重复博弈的方程相同。 ),这是计算机科学中众所周知的算法,功能强大且用途广泛。 MWUA最大化了累积性能和熵之间的权衡,这提出了关于维持进化多样性的新观点。

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