Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence

被引：215

作者：

Davis, Ernest ^{[1
]}

Marcus, Gary ^{[2
,3
]}

机构：

[1] NYU, Dept Comp Sci, New York, NY 10012 USA

[2] NYU, Psychol & Neural Sci, New York, NY USA

[3] Geometri Intelligence Inc, Brooklyn, NY USA

来源：

COMMUNICATIONS OF THE ACM | 2015年 / 58卷 / 09期

关键词：

DATABASE;

D O I：

10.1145/2701413

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ernest Davis and Gary Marcus share their views on the significance of commonsense reasoning and commonsense knowledge in artificial intelligence (AI). Many intelligent tasks, such as understanding texts, computer vision, planning, and scientific reasoning require the real-world knowledge and reasoning abilities. Techniques for implementing commonsense include logical analysis, handcrafting large knowledge bases, Web mining, and crowdsourcing. Intelligent machines need not replicate human cognition directly, but a better understanding of human commonsense is needed to perform such activities.

引用

页码：92 / 103

页数：12

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