Commonsense Knowledge Representation I

P. Ein-Dor
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引用次数: 3

Abstract

Significant advances in artificial intelligence, including machines that play master level chess, or make medical diagnoses, highlight an intriguing paradox. While systems can compete with highly qualified experts in many fields, there has been much less progress in constructing machines that exhibit simple commonsense, the kind expected of any normally intelligent child. As a result, commonsense has been identified as one of the most difficult and important problems in AI (Doyle, 1984; Waltz, 1982).
常识知识表示
人工智能的重大进步,包括能够下大师级国际象棋或进行医疗诊断的机器,突显了一个有趣的悖论。虽然系统可以在许多领域与高素质的专家竞争,但在制造能够表现出简单常识的机器方面,进展要小得多,这些常识是任何正常智力的孩子所期望的。因此,常识被认为是人工智能中最困难和最重要的问题之一(Doyle, 1984;华尔兹,1982)。
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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