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引用次数: 1
摘要
本文的目的是提出并讨论最小智能信号测试(MIST)作为图灵测试替代方案的充分性问题。克里斯·麦金特里(Chris McKinstry)提出了MIST，作为图灵最初想法的一个更好的替代方案。关于MIST的两个主要主张是:(1)MIST问题利用常识性知识，因此对人类来说很容易回答，而对计算机程序来说很难回答;(2) MIST设计的目的是消除考官在考试中的角色问题。为了讨论这些设计假设，我们将介绍Peter D. Turney的PMI-IR算法，该算法允许回答mist类型的问题。我们还将介绍和讨论我们自己的研究结果，目的是针对雾的判断问题。
The Minimum Intelligent Signal Test (MIST) as an Alternative to the Turing Test
The aim of this paper is to present and discuss the issue of the adequacy of the Minimum Intelligent Signal Test (MIST) as an alternative to the Turing Test. MIST has been proposed by Chris McKinstry as a better alternative to Turing’s original idea. Two of the main claims about MIST are that (1) MIST questions exploit commonsense knowledge and as a result are expected to be easy to answer for human beings and difficult for computer programs; and that (2) the MIST design aims at eliminating the problem of the role of judges in the test. To discuss these design assumptions we will present Peter D. Turney’s PMI-IR algorithm which allows for MIST-type questions to be answered. We will also present and discuss the results of our own study aimed at the judge problem for MIST.
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