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应对气候变化:上一个“冬天”未完成的工作

Tackling Climate Change: Unfinished Business from the Last “Winter”
课程网址: http://videolectures.net/iswc2012_musen_climate_change/  
主讲教师: Mark A. Musen
开课单位: 斯坦福大学
开课时间: 2012-12-03
课程语种: 英语
中文简介:
在20世纪90年代,由于万维网不仅在世界范围内变得密集而且无处不在,人工智能社区的工作人员也开始意识到网络可能为新型人工智能提供基础。在20世纪80年代的AI Winter幸存下来之后,他们在可以想象的最大,最互联的计算平台上看到的机会显然是引人注目的。然而,随着语义Web的成功,我们的社区似乎已经停止讨论研究人员认为首先导致AI Winter的许多问题:调试和维护复杂系统的认知挑战,以及符号的含义,知识的位置性质,创建稳健模型的根本困难。这些挑战仍然存在于我们身上;我们不能希望他们对开放世界的假设或大量的法律的呼吁。迎接这些挑战将使我们能够扩展我们的科学和实践范围,并有助于我们更接近语义网的最终愿景。
课程简介: In the 1990s, as the World Wide Web became not only world wide but also dense and ubiquitous, workers in the artificial intelligence community were drawn to the possibility that the Web could provide the foundation for a new kind of AI. Having survived the AI Winter of the 1980s, the opportunities that they saw in the largest, most interconnected computing platform imaginable were obviously compelling. With the subsequent success of the Semantic Web, however, our community seems to have stopped talking about many of the issues that researchers believe led to the AI Winter in the first place: the cognitive challenges in debugging and maintaining complex systems, the drift in the meanings ascribed to symbols, the situated nature of knowledge, the fundamental difficulty of creating robust models. These challenges are still with us; we cannot wish them away with appeals to the open-world assumption or to the law of large numbers. Embracing these challenges will allow us to expand the scope of our science and our practice, and will help to bring us closer to the ultimate vision of the Semantic Web.
关 键 词: 万维网; 人工智能; 计算平台
课程来源: 视频讲座网
最后编审: 2019-05-08:cwx
阅读次数: 49