共查询到20条相似文献,搜索用时 156 毫秒
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介绍商业MIS框架设计辅助专家系统(FGSM)开发背景。讨论以面向对象的眯核心建立MIS框加设计辅助专家系统的知识表示模型,以基于事例的推理为基本方法构造问题求解模型,给出FGSM系统的整体框架结构。 相似文献
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大气污染总量控制规划智能决策支持系统中的知识表示和推理 总被引:1,自引:0,他引:1
在大气污染总量控制规划智能决策支持系统(ISAPEC)中知识表示方法采用产生式表示法,为提高推理的效率,将ISAPEC知识库设计为包含领域级和元级的两级知识库。为了便于用户和领域专家理解,又便于推理的实现,对这两级知识库中的知识都设计内、外两种形式,并且外部形式的知识可通过编译转化为内部形式的知识。针对领域级知识库分别设计了综合应用正向推理和逆向推理优点的目标推理机以及元推理机,此外还设计了推理中 相似文献
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计算反射性ICAI模型 总被引:2,自引:0,他引:2
智能计算机辅助教学(ICAI)系统是一个综合多领域知识的复杂的知识系统.理想的ICAI应具有强的自适应性以实现个别化教育的目的.计算反射是指能因果关联地对自身进行处理的一种计算行为.本文从计算反射的基本思想出发,讨论了知识系统中计算反射的基本模型,进而推广到ICAI系统的设计中,提出了将教师实体和学生实体作为“自身”的反射性的ICAI系统的初步模型.各知识实体均由对象层和反射层组成,在不同层次上依赖不同的知识源完成不同性质的任务. 相似文献
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选择什么样的知识表示方法以及如何恰当地把领域知识表示成工程知识,是专家系统开发中必须面对的问题。该文以电站锅炉的领域知识为研究对象,首先讨论了知识的分类及其表示方法,再根据各种表示方法的特长与不足,并结合锅炉领域知识的特征,选用产生式表示法和框架表示法进行知识表示,最后以锅炉的水冷壁管爆破为例,介绍如何把领域知识表示为工程知识。 相似文献
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根据文献[2]中提出了的基于属性文法和语义网络的综合知识表示模型MAS,本文提出了关于实现该MAS推理机制的基本算法,并且通过实例对该算法进行了说明,最后,证明了基于MAS模板的属性文法是L-AG和IMAS的解是完全的结论。 相似文献
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商业MIS框架生成专家系统(FGSM)包含的领域知识多而染。为了简明有效地组织表达知识,文中介绍了FGSM中知识的分类,并详细地讨论了每类知识的具体表示方法。系统运行表明,系统中的知识易于扩展和修改,具有较强的知识组织、表达和更新能力,提高了推理效率。 相似文献
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知识共享和重用一直是DAI中众多科学家和学者们研究的重要问题,也是智能制造IMS和并行工程CE中的重要研究技术。本文从知识库结构、基于知识的系统的结构和开发模型以及知识交换语言三个方面介绍了知识共享和重要原理、方法以及在制造系统的应用。 相似文献
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从知识表示到表示:人工智能认识论上的进步 总被引:22,自引:0,他引:22
知识表示是对智能进行模拟的一个数学模型,然而它可以不是一个对智能本质的描述,特别是传统的符号主义知识表示离揭示人的智能行为发生的内在过程还有很大的差距,在神经科学和心理学的指导下,通过对智能行为的生理基础和心理过程的研究,遵循“解释智能”的思想,可以得到对知识的心智表示的新认识,这种表示观的不同,预示着人工智能方法论上的进步。 相似文献
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This short paper will discuss the background to the special issue through a consideration of the basic knowledge representation
issues in AI. We will briefly introduce the symbolic and sub-symbolic representations which are traditionally associated with
AI, before noting the socially constructed views of knowledge with which they are at odds and the techniques for knowledge
elicitation which they use. This forms the context against which this special issues sits, highlighting the broad view of
knowledge elicitation and representation and the issues that they raise which we feel are important to debate in the discipline.
By gathering this set of papers together, we hope to encourage researchers to see the value in differing approaches and to
encourage a more synthetic view of the discipline, where contributions and insights from different perspectives may be of
use. 相似文献
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知识获取、知识表示和知识利用成为人工智能的中心问题.但在当前的智能系统中,他们都极不完善.本文通过对人工智能的四大应用领域:专家系统、智能教学系统、自然语言理解及自动程序设计进行分析,说明了在人工智能的应用领域中困难重重. 相似文献
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基于Concept—Relation模型的知识联通 总被引:3,自引:3,他引:3
1 引言 Johnson认为知识不是孤立的而是互相联系的,认知学指出思维过程体现为相关知识间的连接过程。那么如何在相关的知识之间建立联通?如何判定两条知识之间是否存在有意义的联通?又如何建立有意义的联通?这是知识处理中很重要的问题。形象地讲,知识联通就是在知识之间建立有意义的“由此及彼”的桥梁。总体上说,从知识工程角度看,要提高机器的智能程度需要知识间广泛的知识联通;从认知和语义学角度讲,知识联通是可行的。另外,Johnson的三阶段 相似文献
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Knowledge involved in diagnosis of real complex systems comes from human experts and requires appropriate discrete and qualitative
representation. The large amount of information resulted is difficult to be managed and prepared to enter the diagnosis system
without the help of an appropriate tool. The paper proposes a knowledge elicitation scheme for multifunctional conductive
flow systems under fault diagnosis along with appropriate representation of normative and faulty models. Prototype and instance
manifestations get a semi-qualitative representation and symptoms refer to means-end and bond–graph entities in a new approach,
suited to human diagnostician’s conceptual view. The Computer Aided Knowledge Elicitation (CAKE) tool proposed copes with
knowledge involved in the diagnosis. The case study on knowledge elicitation for fault diagnosis of a hydraulic installation
and the conclusions highlight advantages of the present approach. 相似文献
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Automated knowledge acquisition for design and manufacturing: The case of micromachined atomizer 总被引:2,自引:0,他引:2
In order to remain competitive in the global market, original equipment manufacturers (OEMs) are developing a process-based, knowledge-driven product development environment with emphasis on the acquisition, storing, and utilization of manufacturing knowledge. This is usually achieved by using the symbolic artificial intelligence (AI) approach. Specifically, knowledge-based expert systems are developed to capture human expertise, mostly in terms of IF–THEN production rules. It has been recognized that the development of symbolic knowledge-based expert systems suffers from the so-called knowledge acquisition bottleneck. Knowledge acquisition is the process of collecting domain knowledge and transforming the knowledge into a computerized representation. It is a challenging and time-consuming process due to the difficulties involved in eliciting knowledge from human experts. This paper presents an automated approach for knowledge acquisition by integrating neural networks learning ability and fuzzy logics structured knowledge representation. Using this approach, knowledge is automatically acquired from data and represented using humanly intelligible fuzzy rules. The approach is applied to a case study of the design and manufacturing of micromachined atomizers for gas turbine engine. The influence of geometric features on the performance of the atomizers is investigated. The results are then compared with those obtained using traditional regression analysis approach (abstract mathematical models). It was found that the automated approach provides an efficient means for knowledge acquisition. Since the fuzzy rules extracted are easy to understand, they can be used to allow more clear specification of manufacturing processes and to shorten learning curves for novice manufacturing engineers. 相似文献
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Mikael Snaprud
Hermann Kaindl
《Expert systems with applications》1992,5(3-4):369-375This paper addresses the issue of supporting knowledge acquisition using hypertext. We propose a way of tightly integrating hypertext and structured object representation, using Artificial Intelligence (AI) frames for the basic representation of hypertext nodes. Epistemologically, a dual view of the resulting space is of interest. One view is that of hypertext which emphasizes nodes containg g text, including formal knowledge representation. The other view focuses on objects with certain relationships, which define a semantic network. Both in hypertext and in semantic networks the relations between chunks of knowledge are explicitly represented by links. However, in today's hypertext systems a node typically contains just informal text and references to other nodes. Our approach additionally facilitates the explicit representation of structure “inside” hypertext nodes using partitions. We show the usefulness of such a tight integration for knowledge acquisition, providing several features useful for supporting it based on a level of basic hypertext functionality. In particular, we sketch a method for doing knowledge acquisition in such an environment. Hypertext is used as a mediating “semiformal” representation, which allows experts to directly represent knowledge without the immediate support of knowledge engineers. These help then to make this knowledge operational, supported by the system's facility to provide templates as well as their links to the semiformal representation. As an example of our results of using this method of knowledge acquisition, we illustrate the strategic knowledge in our application domain. More generally, our approach supports important aspects of (software) engineering knowledge-based systems and their maintenance. Also their user interface can be improved this way. 相似文献