The role of representation in artificial intelligence(Tutorial Session)

ACM '76 Pub Date : 1976-10-20 DOI:10.1145/800191.805529
I. Goldstein, G. Hendrix, R. Fikes
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引用次数: 1

Abstract

In the effort to construct intelligent computer systems, a primary consideration is how to represent large amounts of knowledge in a fashion that permits their effective use and interaction. Indeed, many researchers in the field of artificial intelligence have come to believe that knowledge representation is the fundamental issue in the attempt to understand intelligence. The presentations in this session explore this issue and describe two current important knowledge representation methodologies, namely frames and semantic nets.
表征在人工智能中的作用(辅导课)
在构建智能计算机系统的努力中,一个主要的考虑是如何以一种允许它们有效使用和交互的方式表示大量的知识。事实上,人工智能领域的许多研究人员已经开始相信,知识表示是试图理解智能的根本问题。本次会议的报告探讨了这个问题,并描述了两种当前重要的知识表示方法,即框架和语义网。
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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