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人机交互知识与计算

Interleaving Human-Machine Knowledge and Computation
课程网址: http://videolectures.net/iswc2012_bernstein_knowledge_computation...  
主讲教师: Abraham Bernstein
开课单位: 苏黎世大学
开课时间: 2012-12-03
课程语种: 英语
中文简介:
在互联网出现之前,大多数合作者必须在足够近的距离内共同努力达到某个目标。现在,与世界上任何地方的任何人合作的成本已经降到几乎为零。因此,人类和计算机之间的大规模协作在技术上变得可行。在这些协作设置中,人类可以承担部分处理的重量。因此,人和计算机成为了一种分布式交织的人机计算(通常称为集体智能、社会计算或各种其他术语)的全球大脑。然而,人类计算机作为计算过程的一部分,有其自身的优势和问题。本文采用伯恩斯坦等人的基本观点。关于人类计算的三个特征动机多样性、认知多样性和错误多样性,并以全球大脑语义网为例进行讨论。
课程简介: Before the Internet most collaborators had to be sufficiently close by to work together towards a certain goal. Now, the cost of collaborating with anybody anywhere on the world has been reduced to almost zero. As a result large-scale collaboration between humans and computers has become technically feasible. In these collaborative setups humans can carry the part of the weight of processing. Hence, people and computers become a kind of \global brain" of distributed interleaved human-machine computation (often called collective intelligence, social computing, or various other terms). Human computers as part of computational processes, however, come with their own strengths and issues. In this paper we take the underlying ideas of Bernstein et al. regarding three traits on human computation|motivational diversity, cognitive diversity, and error diversity|and discuss them in the light of a Global Brain Semantic Web.
关 键 词: 协作设置; 交错人机计算; 语义网
课程来源: 视频讲座网
最后编审: 2020-05-23:杨雨(课程编辑志愿者)
阅读次数: 60