Can the Machine Understand: An Evidence Based Approach to the Chinese Room

Keiland W Cooper
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Abstract

The debate of a thinking machine continues on, especially in an era where machines are achieving tasks that we never thought possible. In this essay, I explore one of the most famous critiques of the thinking machine, Searle’s Chinese room, by breaking down his argument into two claims of varying scope. I then offer an alternative method to assess this argument, by employing a top down approach in contrast to Searles which seems to advance from the conclusion. I explore the current thinking on how the human brain may come to understand the world, as well as some of the aspects of these semantics. This is all in an effort to elucidate some the features necessary for machine understanding and to accurately assess whether a machine possesses them. I conclude that Searle may have been too quick to judge the abilities of computers, and that a claim that any digital computer cannot understand is much too strong. 
机器能理解吗:一种基于证据的中文室方法
关于思考机器的争论仍在继续,尤其是在一个机器正在完成我们从未想过可能完成的任务的时代。在这篇文章中,我将探讨对思维机器最著名的批评之一——塞尔的中文房间,通过将他的论点分解为两个不同范围的主张。然后,我提供了另一种方法来评估这个论点,通过采用一种自上而下的方法,与Searles似乎从结论中推进的方法形成对比。我探讨了当前关于人类大脑如何理解世界的思考,以及这些语义的一些方面。这一切都是为了阐明机器理解所必需的一些特征,并准确地评估机器是否拥有这些特征。我的结论是,Searle对计算机能力的判断可能太快了,认为任何数字计算机都无法理解的说法太过强烈了。
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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