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Unobtrusive workstation farming without inconveniencing owners: learning Backgammon with a genetic algorithm

机译:在不给所有者带来不便的情况下轻松进行工作站养殖:使用遗传算法学习西洋双陆棋

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Most efforts at low-cost parallel computing assume a monopoly on the hardware being used. That all-or-nothing attitude ignores many machines dedicated to other activities, but which sit idle for 16 hours a day. However naive attempts to utilize idle machines can interfere with their primary purpose. This paper describes the successful effort to unobtrusively farm idle machines, for an artificial intelligence system using a genetic algorithm to learn the game Backgammon. It maintains owners' full access to their machines, without causing any detectable interference.
机译:低成本并行计算的大多数努力都假设所使用的硬件处于垄断地位。全有或全无的态度忽略了许多专门用于其他活动的机器,但它们每天闲置16个小时。但是,利用闲置机器的幼稚尝试可能会干扰其主要目的。本文介绍了使用遗传算法来学习游戏西洋双陆棋的人工智能系统在不扰动地闲置机器方面所做的成功努力。它使所有者可以完全访问其机器,而不会引起任何可检测到的干扰。

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