碎片化知识处理与网络化人工智能

发布时间：2018-01-14 02:08

本文关键词：碎片化知识处理与网络化人工智能　出处：《中国科学:信息科学》2017年02期 　论文类型：期刊论文

【摘要】：互联网的出现带来了信息量的爆发式增长,加快了信息的传播速度,其传播方式也更加多样化.人类社会进入了一个前所未有的碎片化知识时代.互联网中的碎片化知识是人类大量行为、思考与交互活动的产物.传统的人工智能试图通过知识工程所建立的专家系统实现机器的智能,但无法有效地解决碎片化知识的处理与高效利用.因此,如何对这些巨量的碎片化知识进行归纳重组与新知识的再发现,是当前信息科学和人工智能研究领域面临的重要科学问题.本文分析了传统人工智能方法面对大规模碎片化知识处理时存在的问题,讨论了碎片化知识处理组织与学习的基本结构,以及网络化人工智能的概念,介绍了大数据演化规律的公式发现方法,并对未来的研究热点进行了展望.
[Abstract]:The emergence of the Internet has brought explosive growth in the amount of information, and accelerated the speed of information dissemination. Human society has entered an unprecedented fragmentation of knowledge era. Fragmentation of knowledge in the Internet is a large number of human behavior. The product of thinking and interactive activities. Traditional artificial intelligence attempts to realize machine intelligence through expert system established by knowledge engineering, but it can not effectively solve the problem of fragmented knowledge processing and efficient utilization. How to sum up and recombine the huge amount of fragmented knowledge and rediscover the new knowledge. It is an important scientific problem in the field of information science and artificial intelligence research at present. This paper analyzes the problems existing in the traditional artificial intelligence method facing the large-scale fragmentation of knowledge processing. This paper discusses the basic structure of fragmented knowledge processing organization and learning, and the concept of networked artificial intelligence, introduces the formula discovery method of big data's evolution law, and looks forward to the future research hotspot.
【作者单位】：西安交通大学人工智能与机器人研究所;
【基金】：国家重点研发计划(批准号:2016YFB1000903) 国家高技术研究发展计划(863)(批准号:2014AA01A301)资助项目
【分类号】：TP18
【正文快照】： 1引言知识处理是人工智能研究的重要内容,在互联网发展的驱动下,知识碎片化时代的到来对知识处理的能力和能效提出了更高的要求.而且知识表达的方式早已从传统的静态文本数据格式发展到了声音、动画、图像和视频等多种模式[1,2],知识的数量更是呈指数增长形式加速倍增.知识

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