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贝叶斯网及其概率推理在智能教学中的应用

冀俊忠, 刘椿年, 江川, 杨文盛

冀俊忠, 刘椿年, 江川, 杨文盛. 贝叶斯网及其概率推理在智能教学中的应用[J]. 北京工业大学学报, 2002, 28(3): 353-357. DOI: 10.3969/j.issn.0254-0037.2002.03.025
引用本文: 冀俊忠, 刘椿年, 江川, 杨文盛. 贝叶斯网及其概率推理在智能教学中的应用[J]. 北京工业大学学报, 2002, 28(3): 353-357. DOI: 10.3969/j.issn.0254-0037.2002.03.025
JI Jun-zhong, LIU Chun-nian, JIANG Chuan, YANG Wen-sheng. Application of Bayesian Network and its Probability Reasoning to Intelligent Tutoring System[J]. Journal of Beijing University of Technology, 2002, 28(3): 353-357. DOI: 10.3969/j.issn.0254-0037.2002.03.025
Citation: JI Jun-zhong, LIU Chun-nian, JIANG Chuan, YANG Wen-sheng. Application of Bayesian Network and its Probability Reasoning to Intelligent Tutoring System[J]. Journal of Beijing University of Technology, 2002, 28(3): 353-357. DOI: 10.3969/j.issn.0254-0037.2002.03.025

贝叶斯网及其概率推理在智能教学中的应用

基金项目: 

国家自然科学基金资助项目(69883001).

详细信息
    作者简介:

    冀俊忠(1969-),男,工程师,在职博士生;刘椿年(1944-),男,教授,博士生导师.

  • 中图分类号: TP39

Application of Bayesian Network and its Probability Reasoning to Intelligent Tutoring System

  • 摘要: 对贝叶斯网及其概率推理进行了简述,提出并实现了一种以贝叶斯网为学生模型的智能教学系统,并重点介绍了学生模型的结构、功能和概率推理算法.系统运行的实例数据真实地反映了学生模型当前的解题情况.
    Abstract: The authors firstly outline BBN and probability reasoning, then propose and implement our intelligent tutoring system that uses BBN as student models, and emphasize the structure and functions and probability reasoning algorithm of student models. The data of practical examples in the operation of the system really reflect how the student model solves problems currently.
  • [1]

    MURRAY T. Authoring intelligent tutoring systems: an analysis of the state of the art[J]. Int J Artif Intell Educa,1999, 10: 98-129.

    [2]

    MARTIN J, VANLEHN K. Student assessment using Bayesian nets[J]. Int J of H-C S, 1995, 42: 575-591.

    [3]

    MITCHELL T. Machine Leaming[M]. New York: The McGraw-Hill Companies, 1997.

    [4]

    LIU Chun-nian, ZHENG Lei, JI Jun-zhong, et al. Electronic homework on the WWW[A]. Zhong N. WI 2001[C].Berlin: Springer-Verlag, 2001. 540-548.

    [5]

    PEARL J. Evidential reasoning using stochastic simulation of causal models[J]. Artif Intell, 1987, 32: 245-257.

    [6]

    HRYCEJ T. Gibbs sampling in Bayesian networks[J]. Artif Intell, 1990, 46: 351-363.

    [7]

    COUSINS S, CHEN W, FRISSE M. A tutorial introduction to stochastic simulation algorithms for beliefnetworks[J]. Artif Intell Med, 1993(5): 315-340.

    [8]

    LAURITZEN S L, SPIEGELHALTER D J. Local computations with probabilities on graphical structures and theirapplication to expert systems[J]. J Royal Stat Soc, 1998, 50: 157-224.

计量
  • 文章访问数:  18
  • HTML全文浏览量:  2
  • PDF下载量:  8
  • 被引次数: 0
出版历程
  • 收稿日期:  2000-10-15
  • 网络出版日期:  2022-11-10
  • 刊出日期:  2022-11-10

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