Enhancing a DBMS Through the Use of an Expert System

The use of expert systems in business is currently one of the most practical applications of all the artificial intelligence (AI) disciplines. One area in which the use of expert systems holds special promise is in its interaction with an organizations data base management system (DBMS). This article describes how an expert system can enhance the use of a DBMS to improve its intelligence and efficiency.     

An expert system for federal tax planning

Abstract: Recent developments in a subarea of computer science called artificial intelligence have included the creation of expert systems that are capable of solving difficult applications problems which require expert knowledge for their solution. Such expert systems have been found to be useful in a number of applications (e.g. medicine, biochemistry and mineral exploration). In this paper the author presents an expert system for solving problems concerning income and transfer tax planning for individuals In developing this system, a theoretical structure and a set of decision rules were specified and then programmed into a rule-based system that had previously been used for medical diagnosis (Mycin [1]) Once the system was developed, its problem-solving capabilities were refined and verified by a panel of tax experts using a blind verification procedure. This verification step demonstrated that an expert system could be developed in that domain.     

专家系统及其在日常诊疗中的应用

专家系统是人工智能一个重要分支,日常诊疗专家系统是专家系统技术在医学诊断领域中的应用。为了阐明日常诊疗专家系统,首先介绍了系统的结构及其工作过程,并通过例子简单阐述了推理机的工作过程。其次,提出日常诊疗专家系统的几点要求。最后,论述了日常诊疗专家系统突破时间和空间的束缚,为人们生活质量的提高提供了保障。     

AI in medicine: A Japanese perspective

This article is concerned with the history and current state of research activities into medical expert systems (MES) in Japan. A brief review of expert systems' work over the last ten years is provided and here is a discussion on future directions of artificial intelligence (AI) applications in medicine, which we expect the Japanese AI community in medicine (AIM) to undertake.     

原型专家系统的研究与实现

随着计算机技术的飞速发展,特别是人工智能技术的发展,专家系统已经得到广泛的应用,取得了巨大的商业效益,成为人工智能的三大前沿之一。针对传统专家系统开发周期过长,用户参与系统开发过少等问题,提出了一种基于原型技术的专家系统开发方法,并对如何建立原型专家系统进行了分析和研究。     

A financial expert system demonstration for business students

Expert systems is a rapidly developing application of artificial intelligence technology for the capture and dissemination of human knowledge. A number of very practical implementations of knowledge bases have been achieved, using program shells which are quite accessible by people other than programmers. Since college business students have a high probability of encountering expert systems in the workplace, it is appropriate that their curriculum expose them to this expanding arena. This paper presents an expert system demonstration designed to provide a hands-on educational environment for allowing students to explore the capabilities of artificial intelligence in business organizations.     

An Expert Systems Forecast

Both the development and use of expert systems applications continues to increase, and more organizations are realizing the importance of integrating this technology. This column identifies several possible future trends 'both positive and negative' in expert systems and artificial intelligence 'AI' technology.     

Artificial intelligence: New jobs from old

The age of artificial intelligence (AI) is upon us, and its effect upon society in the coming years will be noteworthy. Artificial intelligence is a field that encompasses such applications as robotics, expert systems, natural language understanding, speech recognition, and computer vision. The effect of these AI systems upon existing and future job occupations will be important. This paper takes a look at artificial intelligence in terms of the creation of new job categories. Also, the introduction of AI into the organization to better familiarize the employees about AI will be discussed.     

智能混合系统研究综述

作为人工智能的两个主要研究方向,专家系统 和神经网络在过去的几十年中均取得了很大的成功,但二者又存在一些各自的缺陷,不能单 独解决一些复杂的工程实际问题．因此,智能混合系统就成为当今人工智能研究领域中的一 个非常重要且具有很大实用价值和广阔发展前景的研究领域．本文分析比较了专家系统和神 经网络的基本特点,论述智能混合系统的研究现状并指出存在的一些问题．     

Human experts and expert systems: A view from the shop-floor

For quite some time, the research in artificial intelligence has focused on expert systems, because here are to be found practical applications at the experimental stage which may soon become widespread. This focus makes more pressing the need to link the debate about the fundamental efficiency of artificial intelligence with those activities that aim at the application of specialized expert systems. In this paper, I begin by considering the stages and the development of human expertise. As a frame of reference I propose a polar dialectic model of the development of human acting and thinking that explicitly deals with the interplay of calculating rationality and intuition. This suggests the use of expert systems as decision aids particularly in the field of maintenance work on the shop-floor. With regard to this case, some theses concerning the human-centred shaping of technology and work are presented.     

基于产生式系统的知识建模

如何建立系统完整的专家知识模型,并将其快速映射为面向计算机推理的人工智能语言是当前专家系统研究的重点和难点,而知识表示是其中的关键.本文将模型驱动的思想引入到专家系统领域,定义了一种基于不确定性产生式知识表示的元模型,设计并实现了相应的图形化建模工具和转换引擎,并基于此提出一种新的产生式系统应用框架.该框架在某健康信息评估专家系统中获得了成功的应用.     

Online expert systems for fault diagnosis in technical processes

Abstract: It is generally accepted that there has been an increasing interest in online fault detection and diagnosis techniques for technical processes during the last few years. These techniques come from the artificial intelligence field or are classical numerical methods in combination with artificial intelligence methods. This paper presents a survey of recent research work in online expert systems for fault detection and diagnosis in technical processes. In addition, a short reference to other recent artificial intelligence methods for online fault detection is included and the main advantages and limitations of each method are illustrated.     

Expert systems and industrial engineers: A practical guide to a successful partnership

Recent developments in the engineering technology of artificial intelligence and expert systems have generated much excitement both in the business and research environments. There are many opportunities in terms of theoretical research and practical applications. The versatility of the industrial engineering profession seems to be particularly agreeable with the vast potentials of expert systems. A guideline is presented on how industrial engineers can successfully take the lead in beneficial implementations of the emerging technology of expert systems. Suggestions are offered on problem selection, getting started, and expert systems project organization.     

Military applications of expert systems

The advent of expert systems has led to the development of advanced computer systems in areas of medicine, geology, mathematics, chemistry, vision, speech and electronics. The recent acceptance of artificial intelligence as an appropriate technology for military applications has evolved into the development of a number of defense related expert systems. This paper reviews several military applications of expert systems in the areas of advanced visual target recognition, autonomous tactical vehicles, and combat pilot aid systems. System concepts for these areas are described. Several references are provided for each. A number of other military applications of expert systems are discussed through the paper.     

基于Prolog的专家系统研究与应用

随着计算机与网络通信技术的迅猛发展,特别是互联网的大规模普及,围绕人工智能与专家系统的研究和应用开发也迎来一个蓬勃发展的新时期。Prolog语言是人工智能与专家系统领域最著名的逻辑程序设计语言。本文基于Prolog平台上,探讨了专家系统建造的原理和应用。     

基于虚拟仪器技术的故障诊断专家系统的实现

随着计算机技术的发展,智能技术在测试领域显得越来越重要,在传统的测试系统中使用专家系统技术成为测试系统的发展趋势;文章通过对专家系统原理的介绍,提出了将专家系统技术引入测试领域的可行性,并分别介绍了基于虚拟仪器的测试系统软件设计方法和基于规则的专家系统软件设计方法,并给出了故障诊断专家系统的实现方法和实时故障专家系统的设计方案;经使用后,认为专家系统技术将有助于智能化故障诊断的实现,并且可提高测试技术的智能化程度。     

基于Prolog的专家系统研究与应用

随着计算机与网络通信技术的迅猛发展,特别是互联网的大规模普及,围绕人工智能与专家系统的研究和应用开发也迎来一个蓬勃发展的新时期。Prolog语言是人工智能与专家系统领域最著名的逻辑程序设计语言。本文基于Prolog平台上,探讨了专家系统建造的原理和应用。     

基于人工神经元网络的控制系统模型简化的专家系统

本文研究并实现了一个基于人工神经元网络的控制系统模型简化的专家系统(简称为ESOMRT)。该系统适用于专家和非专家用户,能够针对更体的连续和离散时间的高阶控制系统模型和简化要求选择合适的简化方法,并可对简化质量从时域和频域方面进行评估。在构造这个系统的过程中,作者提出了智能数据库的概念,使用了过程型和人工神经元网络方法相结合的知识表达方式,并利用神经元网络的再学习机制实现了斗自动知识获取,该系统具有三种工作模式和友好的人机界面,使系统的智能水平比较高并有实用价值,现已在IBM-PC/XT和386机上运行。     

AN OPEN. SYSTEM APPROACH TO INTEGRATION OF EXPERT SYSTEMS

With the wide availability of expert system building tools, more and more expert systems have been built, and many of them are developed by noncomputer professionals. An important task for researchers in applied artificial intelligence is to find a way for an integrated use of these systems. In this paper, an approach to building an environment for conceptual integration of expert systems is discussed. This approach is originated from the requirements of the concept of open system as proposed by Hewitt. The implementation status of an experimental system is also briefly described.     

基于基因组合模式挖掘的辅助诊断专家系统

在医疗领域中,基因芯片技术等高效核酸分析手段不断发展,使得临床诊断与医学研究中能够利用这一技术获取大量与肿瘤生成相关的基因信息。同时,近年来随着机器学习理论与技术的不断发展与应用,在各领域内出现了大量基于人工智能技术的专家系统。针对基因芯片信息的特点,描述了一种肿瘤辅助诊断专家系统的设计思路与实现方案;讨论了在专家系统实现过程中所采用的关键数据挖掘技术;重点叙述了系统的结构框架、工作机制与辅助诊断原理。在实验中,展示了临床获得的医疗数据在所论述系统中的测试结果。实验结果表明所论述的系统实现方案能够在一定程度上满足辅助诊断的需求。