The cognitive cycle

J. Sowa
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引用次数: 12

Abstract

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.
认知周期
在从一年级到博士的二十年里,学生们从来没有用机器学习算法设计的方法学习过任何一门学科。这些算法对于分析大量数据非常有用。但它们并不能使计算机系统像三岁儿童那样快速准确地学习一门语言。它们甚至不如浣熊妈妈教她的孩子如何找到最好的垃圾桶那么有效。对所有动物来说,学习都是与从感知到有目的的行动的认知周期相结合的。需要许多算法来支持这个循环。但智能系统绝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。这种循环是设计智能系统的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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