Collective reflection strategy for moderating conformity tendency and promoting reflective judgment performance

Reflective judgement is crucial for medical-related practitioners in dealing with controversial issues. However, the conformity phenomenon is likely to occur and interfere with reflective judgement learning during interactive activities. Effective strategies are required to moderate the conformity behaviour tendency (CBT) and improve reflective judgement performance (RJP). This study demonstrates two significant results: (a) Compared with the guided self-reflection learning strategy, the online collective reflection (OCR) learning strategy effectively weakened the learners' general CBT while dealing with professional controversial issues; and (b) a significantly negative correlation between the RJP achieved and the change of CBT in online environment was detected in the OCR group. The implications and potential applications in higher education were discussed. Further studies are needed to confirm the long-term effects and the extending application to other professional studies.     

人工智能的原理及应用

介绍了人工智能的发展，并对改进的神经网络专家系统的优越性做了介绍，指出了神经网络专家系统广阔的应用前景及实现。     

一类专家模型参考自适应控制

本文将专家系统技术和模型参考自适应控制相结合，提出了一种新的基于专家系统模型参考自适应控制，该系统集智能控制思想与专家技术于一身，从而得到很强的控制律，为验证其有效性，以两关节机器人为对象进行仿真，在有负载扰动情况下，该系统能使机器人跟踪上希望轨迹，其系统响应和鲁棒性优于常规的控制算法。     

Industrial Text and French Neo-structuralism

Parallel to, and to some degree inreaction to French poststructuralisttheorization (as championed by Derrida,Foucault, and Lacan, among others) is a Frenchneo-structuralism built directly on theachievements of structuralism using electronicmeans. This paper examines some exemplaryapproaches to text analysis in thisneo-structuralist vein: SATOR's topoidictionary, the WinBrill POS tagger andFrançois Rastier's interpretativesemantics. I consider how a computer-assisted``Wissenschaft' accumulation of expertisecomplements the neo-structuralist approach.Ultimately, electronic critical studies will bedefined by their strategic position at theintersection of the two chief technologiesshaping our society: the new informationprocessing technology of computers and therepresentational techniques that haveaccumulated for centuries in texts.Understanding how these two informationmanagement paradigms complement each other is akey issue for the humanities, for computerscience, and vital to industry, even beyond thenarrow realm of the language industries. Thedirection of critical studies, a small planetlong orbiting in only rarefied academiccircles, will be radically altered by the sheersize of the economic stakes implied by a newkind of text, the industrial text, thetechnological heart of an information society.     

大坝安全监控专家系统中的知识处理

在介绍产生式规则及其数学模型的基础上，论述了用成熟的关系数据库 技术来表示和存储产生式规则表示的专家知识的方法，较好地解决了知识的存储和管理问题 。同时，利用关系数据库中实体间的关系，很容易将分散存储的规则元素组合成规则供推理 时使用。在分析了大坝安全监控专家系统知识特点的基础上举例说明了用关系数据库表 示产生式规则的具体方法。     

Overview of ship-design expert systems

Expert systems constitute a branch of artificial intelligence, and their unique characteristics enable computer systems to perform at the level of a human expert by the use of algorithms that can capture domain-specific knowledge. Through an extensive survey of research about ship-design expert systems, we conclude that although development and implementation of expert systems for ship design offer substantial barriers, the shipbuilding industry needs them nonetheless. We examine the major reasons that use of expert systems in this industry has lagged behind. These include the problems of integration with existing computer-aided design systems, problems of knowledge representation and sizable development costs. We discuss in detail some key factors that can lead to the solution of these problems.     

Extrapolation of fuzzy values from incomplete data bases

This paper presents different approaches which enable a data base management system to obtain a plausible fuzzy estimate for an attribute value of an item for which the information is not explicitly stored in the data base. This can be made either by a kind of analogical reasoning from information about particular items or by means of expert rules which specify the (fuzzy) sets of possible values of the attribute under consideration, for various classes of items. Another kind of expert rules enables the system to compute an estimate from the attribute value of another item provided that, in other respects, this latter item sufficiently resembles the item, the value of which we are interested in; then these expert rules are used either for controlling the analogical reasoning process or for enlarging the scope of application of the first kind of expert rules. The different approaches are discussed in the framework of possibility theory.     

基于织疵分析与管理专家系统的探讨

为了及时分析和有效控制织物的疵点,采用VFP 6.0建立了织疵分析与管理专家系统,介绍了系统的总体结构和数据存储形式、推理机制等内容。该系统能实现各种质量指标的统计与分析,对产生率高的疵点进行产生原因的诊断、推理,得出消除疵点的方法,并能准确地确定疵点的评分。结果表明,该系统通过在某工厂的实验,疵点的推断准确率为95%以上,节省疵点的分析时间三分之二,提高下机一等品率5%~10%。     

智能控制的理论和方法

本文简要地回顾了智能控制的发展过程，讨论了智能控制的几个主要理论与方法，最后对智能控制的发展提出了作者的看法。     

一种评价机器磨损和润滑油质量的新方法

提出用表征大型机械系统健康状态的相对劣化度作为监控机械磨损状态和油品质量变化的综合判断指标，以便结合反映机器工作状态的其它因素，共同评定机器的健康状态。以柴油机为例，对监测得到的柴油机润滑油的铁谱参数、磨损金属元素含量和油品理化性能等数据进行综合分析和处理，所得相对劣化度的变化趋势，较准确地反映了柴油机的工作状况。该方法不仅简单实用，而且便于将油液监测技术与其他监测技术（如振动诊断技术）结合起来，用一统一指标描述机器的健康状况，达到监测和预报的目的，为开发基于多种监测技术的智能诊断系统打下基础。