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语义网与人的推理:认知科学的一课

The Semantic Web and Human Inference: A Lesson from Cognitive Science
课程网址: http://videolectures.net/iswc07_yamauchi_swh/  
主讲教师: Takashi Yamauchi
开课单位: 德州农工大学
开课时间: 2008-07-01
课程语种: 英语
中文简介:
对于语义Web技术的开发,语义Web社区中的研究人员和开发人员需要关注人类推理特别困难的领域。本文中的两项研究表明,人们倾向于使用类别包含标签进行归纳判断。这种趋势似乎源于人类推理的一般特征 - 使用启发式方法来解决问题。包含人类推理的推理引擎和界面设计需要整合人类感应的这种一般特征。
课程简介: For the development of Semantic Web technology, researchers and developers in the Semantic Web community need to focus on the areas in which human reasoning is particularly difficult. Two studies in this paper demonstrate that people are predisposed to use class-inclusion labels for inductive judgments. This tendency appears to stem from a general characteristic of human reasoning – using heuristics to solve problems. The inference engines and interface designs that incorporate human reasoning need to integrate this general characteristic underlying human induction.
关 键 词: 人类推理; 类别包含标签; 启发式方法
课程来源: 视频讲座网
最后编审: 2019-04-27:cwx
阅读次数: 59