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My Computer Is an Honor Student - But How Intelligent Is It? Standardized Tests as a Measure of AI

机译:我的计算机是荣誉学生-但是它有多聪明?标准化考试是衡量AI的一种方法

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摘要

Given the well-known limitations of the Turing test, there is a need for objective tests to both focus attention on, and measure progress toward, the goals of AI. In this paper we argue that machine performance on standardized tests should be a key component of any new measure of AI, because attaining a high level of performance requires solving significant AI problems involving language understanding and world modeling critical skills for any machine that lays claim to intelligence. In addition, standardized tests have all the basic requirements of a practical test: they are accessible, easily comprehensible, clearly measurable, and offer a graduated progression from simple tasks to those requiring deep understanding of the world. Here we propose this task as a challenge problem for the community, summarize our state-of-the-art results on math and science tests, and provide supporting data sets (www.allenai.org).
机译:考虑到图灵测试的众所周知的局限性,因此需要客观测试以集中精力关注和衡量实现AI目标的进度。在本文中,我们认为标准化测试中的机器性能应该是任何新的AI衡量标准的关键组成部分,因为要达到较高的性能水平,就需要解决重大的AI问题,包括对语言的理解以及对任何声称具备以下要求的机器进行建模的关键技能情报。另外,标准化测试具有实践测试的所有基本要求:它们易于访问,易于理解,可清楚测量,并且可以从简单的任务逐步过渡到需要深入了解世界的任务。在这里,我们向社区提出此任务,这是一个挑战性的问题,总结了我们在数学和科学测试中的最新结果,并提供了支持性的数据集(www.allenai.org)。

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  • 来源
    《AI Magazine》 |2016年第1期|5-12|共8页
  • 作者

    Clark Peter; Etzioni Oren;

  • 作者单位

    Allen Inst Artificial Intelligence, Project Aristo, Seattle, WA 98103 USA;

    Allen Inst Artificial Intelligence, Seattle, WA USA|Univ Washington, Dept Comp Sci, Seattle, WA 98195 USA;

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  • 正文语种 eng
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