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The cognitive cycle

机译：认知周期

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In the twenty years from first grade to a PhD, students never learn any subject by the methods for which machine-learning algorithms have been designed. Those algorithms are useful for analyzing large volumes of data. But they don't enable a computer system to learn a language as quickly and accurately as a three-year-old child. They're not even as effective as a mother raccoon teaching her babies how to find the best garbage cans. For all animals, learning is integrated with the cognitive cycle from perception to purposeful action. Many algorithms are needed to support that cycle. But an intelligent system must be more than a collection of algorithms. It must integrate them in a cognitive cycle of perception, learning, reasoning, and action. That cycle is key to designing intelligent systems.
机译：从一年级到博士学位的二十年间，学生从未通过设计机器学习算法的方法来学习任何学科。这些算法对于分析大量数据很有用。但是，它们不能使计算机系统像三岁的孩子那样快速而准确地学习语言。它们甚至不像母浣熊教她的婴儿如何找到最好的垃圾桶那样有效。对于所有动物，学习都与从知觉到有目的的行动的认知周期融为一体。需要许多算法来支持该循环。但是，智能系统必须不仅仅是算法的集合。它必须将它们整合到感知，学习，推理和行动的认知循环中。该周期是设计智能系统的关键。

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