程序语句生成子与知识获取自动化

本文以作者研制开发的基于机器自动推理技术的ＩＣＡＩ为背影，介绍了有关知识获取自动化的软件技术措施。     

组织智能及其实现

介绍了以办公信息处理为应用背景。将ＭＡＳ技术与ＣＳＣＷ技术相结合研制的人机共栖协同工作系统ＩＣ－Ｏｆｆｉｃｅ,并说明了了ＩＣ－Ｏｆｆｉｃｅ系统中组织信息集成,组织学习,组织推理等功能的实现。     

一个基于知识库及自动推理机制的化学反应系统

提出了一种基于知识库及自动推理机制的化学反应系统,详细阐述了该自动推理系统的技术架构与算法实现.主要收集了无机化学知识,分析并提取相关化学反应规则,建立了相应的化学知识库,实现了由添加反应物到化学反应生成物的一系列自动推理过程.通过稀硫酸和铁反应实例表明,该系统对开发智能的虚拟实验平台,以及学生运用软件自主学习化学知识,掌握化学规律与现象,具有重要作用.     

CAI中的智能超媒体技术研究

将智能化行为引入到超媒体系统中,在超媒体的链和结点中嵌入知识或规则,允许链进行计算和推理,使链具有动态跟踪与动态引导功能,使得媒体信息具有更丰富的表现特性,这是智能超媒体的主要研究的内容。文章探讨了智能超媒体的相关实现技术,建立了ＣＡＩ领域的相关知识与推理模型,设计与实现了网上多媒体ＣＡＩ系统中的智能超媒体功能。     

构建远程ICAI的研究

该文介绍了将远程网络教学与ＩＣＡＩ相结合并构建远程ＩＣＡＩ的研究工作,提出了一个基于远程网络的ＩＣＡＩ模型,以及验证该模型的实验系统中有关知识表示、智能综合集成、协同教学模式和在超文本中增加教学控制描述等问题的解决方法。     

应用规划技术设计ICAI系统

本文介绍了一种设计ＩＣＡＩ系统的技术一规划技术，提出了系统的组成、各部分划分及功能，并结合实例模拟了一个ＩＣＡＩ系统的设计与实现过程。     

计算反射性ICAI模型

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．     

构建远程的ICAI的研究

该文介绍了将远程网络教学与ＩＣＡＩ相结合并构建远程的ＩＣＡＩ的研究工作，提出一筱基于远程网络的ＩＣＡＩ模型，以及难证该模型的实验系统中有关知识表示、智能综合集成、协同教学模式和在超文本中增加教学控制描述等问题的解决方法。     

面向对象知识库系统CAOBS／V1.2的设计与实现

文中介绍了一个面向对象知识库系统ＣＡＯＢＳ／Ｖ１．２。该系统是在一个面向对象数据库管理系统基础上进行开发的。我们重点研究了面向对象的知识表示、可视查询、问题的推理求解与知识的获取机制。在ＣＡＯＢＳ／Ｖ１．２系统中，问题推理求解采用基于事例的推理，辅之以基于规则的推理模式。我们还开发了一种新型的可视知识查询语言－ＶＫＱＬ，其查询的直观性和方便性均要强于传统的文本查询语言。文中论述了ＣＡＯＢＳ／Ｖ１．     

ICAI与超文本的综合集成

文中分析了智能计算机辅助教学（ＩＣＡＩ）和超文本的问题。从智能综合集成的思路出发，认为ＩＣＡＩ系统的自主性是不现实的，现实的ＩＣＡＩ系统应该是人机协作、能充分调动学生智能的ＩＣＡＩ系统。提出利用ＩＣＡＩ与超文本的互补性将两者综合集成，建立一个基于超文本的ＩＣＡＩ系统（ＨＩＣＡＩ），以提供良好的学习环境，促进ＩＣＡＩ系统实用化。     

The intelligent CAI system for chemistry based on automated reasoning

A new type of intelligent CAI system for chemistry is developed in this paper based on automated reasoning with chemistry knowledge.The system has shown its ability to solve chemistry problems,to assist students and teachers in studies and instruction with the automated reasoning functions.Its open mode of the knowledge base and its unique style of the interface between the system and human provide more opportunities for the users to acquire living knowledge through active participation.The automated reasoning based on basic chemistry knowledge also opened a new approach to the information storage and management of the ICAI system for sciences.     

ICAI系统中知识模型和推理

根据ICAI中知识的特点,文章提出了知识网络图和模糊规则图的知识表示形式,并且将模糊思想引入到ICAI系统中,以优化系统的推理机制,使系统的推理过程更接近人类的思维过程,推理的结果也更为合理、有效。     

Pattern-Based Interactive Diagnosis of Multiple Disorders: The MEDAS System

A knowledge-based interactive sequential diagnostic system is introduced which provides for diagnosis of multiple disorders in several body systems. The knowledge base consists of disorder patterns in a hierarchical structure that constitute the background medical information required for diagnosis in the domain under consideration (emergency and critical care medicine, in our case). Utilizing this knowledge base, the diagnostic process is driven by a multimembership classification algorithm for diagnostic assessment as well as for information acquisition [1]. A key characteristic of the system is congenial man-machine interface which comes to expression in, for instance, the flexibility it offers to the user in controlling its operation. At any stage of the diagnostic process the user may decide on an operation strategy that varies from full user control, through mixed initiative to full system control. Likewise, the system is capable of explaining to the user the reasoning process for its decisions. The model is independent of the knowledge base, thereby permitting continuous update of the knowledge base, as well as expansions to include disorders from other disciplines. The information structure lends itself to compact storage and provides for efflcient computation. Presently, the system contains 53 high-level disorders which are diagnosed by means of 587 medical findings.     

A framework for ICAI systems based on inductive inference and logic programming

The main components of an Intelligent Computer-Assisted Instruction (ICAI) system are the expertise, the student model and tutoring strategies. The student model manages what the student dose and dose not understand, and the performance of an ICAI system depends largely on how well the student model approximates the human student. We propose a new framework for ICAI systems which uses the inductive inference for constructing the student model from the student’s behavior. In the framework, both the expertise and the student model are represented as Prolog programs, which enables to express the meta-knowledge that is the knowledge of how to use the knowledge. Since the construction of the student models is performed independently of the expertise, the framework is domain-independent. Therefore, an ICAI system for any subject area can be built with the framework. As an example, the ICAI system teaching chemical reaction is presented together with a sample performance. The authors believe that the new framework for ICAI systems based on logic programming and inductive inference could be a breakthrough of the future ICAI systems.     

生成传统解答的初中物理智能ＣＡＩ系统——原理、结构与关键技术

初中物理智能ＣＡＩ系统是作者设计和开发的实现问题临场解答和生成传统解答的基于人工智能技术教育软件。本文讨论了系统的设计原理、结构和关键技术、并用实例展示了该软件的主要功能。     

Qualitative reasoning for system reconstruction using Lebesgue discretization

System reconstruction refers to the following problem: given a behaviour system, viewed as an overall system, determine which sets of its subsystems are adequate for reconstructing the given system with an acceptable degree of approximation. The reconstruction problem can be solved by finding multiple variable relationships in complex data. To deal with this problem, we apply the idea of qualitative reasoning as discussed in artificial intelligence. The basic idea is to convert continuous data into discrete data (e.g. through clustering) so that qualitative rules can be constructed. In this paper a method of compressing data (called the Lebesgue discretization) is proposed to establish relationships between the dependent variable and other variables. Qualitative rules can be constructed from this relationship and then stored in a knowledge base. This technique also facilitates automated knowledge acquisition.     

基于知识图谱的急诊问答系统

为了提升现有急诊问答的速度,将医疗类专家知识、知识图谱和问答系统相结合,实现了通过自然语言人机交互 的急诊问答系统。本系统基于垂直类医疗网站,使用网络爬虫技术构建知识库,通过图数据库存储知识图谱;基于规则匹配方法和字符串匹配算法,构建领域词库对问句分类查询。本系统在急诊医疗领域知识图谱和问答系统构建中有应用价值。