论高校图书馆开展竞争情报服务的必要性

介绍了竞争情报的概念,阐述了高校图书馆开展竞争情报服务的必要性,分析了高校图书馆开展竞争情报服务的优势。     

高校图书馆的企业竞争情报服务

从竞争情报研究及其服务发展现状出发,对高校图书馆开展竞争情报服务的优势及服务方式进行了探讨。     

CPN及在军事指挥控制系统建模中的应用

简单介绍了着色 Petri网 (CP-网或 CPN)的发展过程和基本原理 ,重点就 CPN在军事 $C^3I$系统建模仿真中的应用进行了探讨 .     

论晚清诸子学研究中"以西释子"的学术特色

在晚清诸子学研究中,由于西学的广泛传播、"西学中源"说的再次兴起和研究方法的内在需要,出现了"以西释子"的学术特色。其发展在晚清大致经历了从通过西学对诸子的再注解来发掘诸子中的自然科技,到阐发诸子中的现代价值观念两个阶段,出现了一系列"以西释子"的学术专著。由于这一学术特色的出现,为中国近代学术研究提供了新的研究方法,推动了西学的中国化和传统文化的现代化,也促进了儒学独尊地位的瓦解。     

大数据营销:综述与展望

随着追踪消费者足迹能力的增强,营销科学正经历着一场大数据的革命.为了了解大数据背景下消费者行为和营销战略的改变,此项研究结合近十余年大数据营销的有关文献,梳理了大数据营销的相关概念,类型及分析方法,并提炼出搜索、移动、口碑、数字化、APP和社会媒体等50个大数据营销的热门主题.在此基础之上,分别从互联网、社会网络、移动互联网、大数据和人工智能等四个阶段对大数据营销的研究进展进行回顾,最后围绕客户旅程,营销活动的量化评估和营销分析技术的开发三个方面对大数据营销的未来研究方向进行展望.     

Re-situating fieldwork and re-narrating disciplinary history in global mega-geomorphology

In 1985, more than thirty geomorphologists, planetary scientists, and remote sensing specialists gathered at a conference center in Oracle, Arizona, to discuss an emerging area of research that they called “mega-geomorphology.” Building on a conference of the same name held in London in 1981, they argued that new techniques of remote sensing and insights emerging from the study of extraterrestrial planets had created opportunities for geomorphology to broaden its spatial and temporal scope. This new approach was, however, neither unproblematic nor uncontested. In the discussions around mega-geomorphology that took place in the mid-1980s, the perceived conflict between the use of remote-sensing techniques to observe phenomena on vast spatial scales, on one hand, and the disciplinary centrality of fieldwork and field experience to geomorphology, on the other, was a recurrent theme. In response, mega-geomorphologists attempted to re-situate fieldwork and re-narrate disciplinary histories in such a way as to make remote sensing and planetary science not only compatible with geomorphological traditions but also means of revitalizing them. Only partially successful, these attempts reveal that the process of adopting a planetary perspective in geomorphology, as in other earth sciences, was neither straightforward nor inevitable. They also show how the field and fieldwork could remain central to geomorphology while also being extensively revised in light of new technical possibilities and theoretical frameworks.     

Varieties of noise: Analogical reasoning in synthetic biology

The picture of synthetic biology as a kind of engineering science has largely created the public understanding of this novel field, covering both its promises and risks. In this paper, we will argue that the actual situation is more nuanced and complex. Synthetic biology is a highly interdisciplinary field of research located at the interface of physics, chemistry, biology, and computational science. All of these fields provide concepts, metaphors, mathematical tools, and models, which are typically utilized by synthetic biologists by drawing analogies between the different fields of inquiry. We will study analogical reasoning in synthetic biology through the emergence of the functional meaning of noise, which marks an important shift in how engineering concepts are employed in this field. The notion of noise serves also to highlight the differences between the two branches of synthetic biology: the basic science-oriented branch and the engineering-oriented branch, which differ from each other in the way they draw analogies to various other fields of study. Moreover, we show that fixing the mapping between a source domain and the target domain seems not to be the goal of analogical reasoning in actual scientific practice.     

A kind of Generalized Learning Model

1　IntroductionSymboliclearning,connectivelearning,fuzzylearningandevolutionarylearningarethepresentfundamentalmethodsformachinelearning[1～3].Eachofthemhascharacteristicsandadvantages,andcancarryoutmachinelearningtasksincertainregioneffectively.Howe...     

基于Multi-Agent系统的预测支持系统的结构

Agent技术是人工智能和计算机科学领域内新兴的研究热点,自治Agent和多Agent系统为复杂软件系统的分析、设计和实现提供了新的思路.给出一种基于Multi-Agent系统的预测支持系统的结构,将系统设计成由多个Agent组成的多Agent系统.各个Agent有自己的功能,可以独立自主地运行,还可以协同工作完成系统整体目标.     

基于云计算的商业情报采集系统

商业情报采集系统不同于传统的搜索引擎系统,情报具有时效性、针对性等特点,传统搜索引擎中的数据分类和聚类技术不能完全满足商业情报采集过程中对时效性和针对性的特殊需求。提出一种商业情报采集解决方案,在云计算环境中采用贝叶斯分类算法和多种网页去重、提取等算法,实现对互联网数据的实时性抓取、分析、分类、聚类,形成对用户全方位立体化的情报本体,抓取的海量数据采用分布式文件系统存储,采集的情报用基于云的数据库CouchDB存储。