A Formal Method for Verifying Production Knowledge Base

Hongtao Huang, Shaobin Huang, Tao Zhang
{"title":"A Formal Method for Verifying Production Knowledge Base","authors":"Hongtao Huang, Shaobin Huang, Tao Zhang","doi":"10.1109/ICICSE.2009.14","DOIUrl":null,"url":null,"abstract":"The most important thing of using model checking technology to verify production knowledge base is to build system model from rule set. It is a fundamental but time-consuming job. This paper presents an efficient formal method to verify production knowledge base. Two main contributions of this paper are as follows. Firstly, we propose a dynamic modeling method to build system model of knowledge base, this method utilizes the dynamic procedural nature of production rule to build system model, and it improves the modeling efficiency significantly; Secondly, a conditional transition system based on the standard transition system is given to represent system model, our conditional transition system contains the whole information about the actual state transition process, which solves the information loss problem of the static transition system built by static modeling method and improves the efficiency of error diagnosis.","PeriodicalId":193621,"journal":{"name":"2009 Fourth International Conference on Internet Computing for Science and Engineering","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Internet Computing for Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2009.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The most important thing of using model checking technology to verify production knowledge base is to build system model from rule set. It is a fundamental but time-consuming job. This paper presents an efficient formal method to verify production knowledge base. Two main contributions of this paper are as follows. Firstly, we propose a dynamic modeling method to build system model of knowledge base, this method utilizes the dynamic procedural nature of production rule to build system model, and it improves the modeling efficiency significantly; Secondly, a conditional transition system based on the standard transition system is given to represent system model, our conditional transition system contains the whole information about the actual state transition process, which solves the information loss problem of the static transition system built by static modeling method and improves the efficiency of error diagnosis.
生产知识库验证的形式化方法
利用模型检查技术对生产知识库进行验证,最重要的是根据规则集建立系统模型。这是一项基本但耗时的工作。本文提出了一种有效的形式化方法来验证生产知识库。本文的两个主要贡献如下。首先,提出了一种建立知识库系统模型的动态建模方法,该方法利用生产规则的动态程序性来建立系统模型,显著提高了建模效率;其次,在标准转换系统的基础上给出了一个条件转换系统来表示系统模型,我们的条件转换系统包含了实际状态转换过程的全部信息,解决了采用静态建模方法构建的静态转换系统的信息丢失问题,提高了错误诊断的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信