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基于案例的解释研究 被引量：3

Reaearch on Case-Based Explanation
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摘要 解释是专家系统中一个重要环节,优秀的解释技术可以帮助用户增强使用系统的信心,帮助用户进一步理解系统的推理过程和结果。介绍基于案例解释的相关概念,然后从不同角度对近年来国内外研究进展做出综述与评价,并对基于案例的解释技术做出总结与展望。 Explanation is an important part in expert system, excellent explanation technologies can help users enhance confidence in using the system and help users better understand the reasoning process and results. Introduces the related concepts of CBE, then summarizes and evaluates the progress in recent years on research and advance of this field at home and abroad from different perspectives, draws a conclusion and discusses future work.
作者 杨健 杨邓奇 张晓玲
机构地区 大理学院数学与计算机学院
出处 《现代计算机》 2008年第3期138-140,155,共4页 Modern Computer
关键词 人工智能 基于案例的推理(CBR) 基于案例的解释(CBE) AI Case-Based Reasoning （CBR） Case-Based Explanation （CBE）
分类号 TP182 [自动化与计算机技术—控制理论与控制工程]
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参考文献11

  • 1David Leake,David McSherry. Introduction to the Special Issue on Explanation in Case-Based Reasoning. Artificial Intelligence Review, 2005,24 : 103-108.
  • 2Cunningham P.,Doyle D. ,Loughrey J. An Evaluation of the Usefulness of Case-Based Explanation. Proceedings of the 5th International Conference on CBR(ICCBR 2003). Springer, 2003 : 122-130.
  • 3Thomas R. Roth-Berghofer,Jorg Cassens,Frode SФrmo. Goals and Kinds of Explanations in Case-Based Reasoning. The 3rd Professional Knowledge Management-Experiences and Visions. Kaiserslautern ,2005:264-268.
  • 4Eva Armengol,Enric Plaza. Using Symbolic Descriptions to Explain Similarity on CBR. Artificial Intelligence Research and Development, 2005,131 : 239-246.
  • 5Doyle D.,Cunningham P., Bridge D, Rahman Y. Explanation-Oriented Retrieval. Advances in Case-Based Reasoning,2004 ,Vol. 3155 of LNAI : 157-168.
  • 6David McSherry. Explanation in Recommender Systems. Artificial Intelligence Review, 2005, (24) : 179-197.
  • 7David MeSherryo Retrieval Failure and Recovery in Recommender Systems. Artificial Intelligence Review,2005, (24) : 319-338.
  • 8Munoz-Avila,David Aha. On the Role of Explanation for Hierarchical Case-Based Planning in Real-Time Strategy Games. Advances in Case-Based Reasoning (Proes, Of EC CBR-04). Madrid, Spain : Springer, 2004.
  • 9Rainer Maximini, Andrea Freβmann,Martin Schaaf. Explanation Service for Complex CBR Applications. ECCBR 2004: 302-316.
  • 10Massie S.,Craw S.,Wiratunga N.. Visualization of CaseBased Reasoning for Explanation. ECCBR 2004:135-144.

同被引文献20

  • 1张建华.企业知识管理中的系统学习机制[J].华东经济管理,2006,20(9):87-90. 被引量：5
  • 2程志伦,范玉青.钢铁企业MES质量设计中CBR方法的相似度计算方法研究[J].制造业自动化,2006,28(10):6-9. 被引量：7
  • 3秦玉平,杨兴凯.基于案例推理的区间属性相似度研究[J].辽宁师范大学学报（自然科学版）,2006,29(4):442-445. 被引量：13
  • 4Liu M, Zuo H F, Ni X C, et al. Research on a casebased decision support system for aircraft maintenance review board report [ C]. Int Conf on Intelligent Computing (ICIC 2006). Kunming, 2006: 1030-1039.
  • 5Burstein F V, Smith H G, Sharma R. A hierarchical classification approach to knowledge acquisition for a case-based decision support system[C]. Second Int Conf Computational Intelligence and Multimedia Applications (ICCIMA'98). Victoria, 1998: 173-179.
  • 6Slonim T Y, Schneider M. Design issues in fuzzy casebased reasoning[J]. Fuzzy Sets and Systems, 2001, 117 (2) : 251-267.
  • 7Oelcer A I, Majumder J. A case-based decision support system for flooding crises onboard ships[J]. Quality and Reliability Engineering Int, 2006, 22(1): 58-78.
  • 8王永庆.人工智能原理与方法[M].西安:西安交通大学出版社,2003..
  • 9Conor Nugent,Pádraig Cunningham.A Case-Based Explanation System for Black-Box Systems[J].Artificial Intelligence Review.2005(2)
  • 10Lorcan Coyle,Dónal Doyle,Pádraig Cunningham.Representingsimilarity for CBR in XML[].Advances in Case-Based Reaso-ning(Proc of ECCBR-).2004

引证文献3

二级引证文献23

现代计算机
2008年 第3期

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