|
|||||
|
|
| Gout-ITS系统的深度优先语义遍历算法 | |
| 引用本文： | 赵瑛,魏绍谦,王成尧. Gout-ITS系统的深度优先语义遍历算法[J]. 计算机工程与设计, 2005, 26(12): 3420-3422,3431 |
| 作者姓名： | 赵瑛 魏绍谦 王成尧 |
| 作者单位： | 北京联合大学,师范学院,计算机系,北京,100011 |
| 摘 要： | 该文分析了痛风临床诊治智能教学系统（Intelligent Tutoring System for the Instruction of Gout Clinical Diagnosis and Treatment，以下简称Gout-ITS系统）自动生成病例所需的领域知识及其特点，提出了语义树知识表示法和深度优先语义遍历算法。该算法可以有效地生成既符合学生的学习难度要求、又符合病理逻辑的、多样化不重复的病例。最后，将该算法与人工智能中的深度优先搜索算法进行了比较，阐述了其中的不同之处。 |
| 关 键 词： | 智能教学系统 语义树 深度优先语义遍历 |
| 文章编号： | 1000-7024（2005）12-3420-03 |
| 收稿时间： | 2005-01-26 |
| 修稿时间： | 2005-01-26 |
Depth first semantic traversal algorithm for Gout-ITS |
|
| ZHAO Ying,WEI Shao-qian,WANG Cheng-yao. Depth first semantic traversal algorithm for Gout-ITS[J]. Computer Engineering and Design, 2005, 26(12): 3420-3422,3431 | |
| Authors: | ZHAO Ying WEI Shao-qian WANG Cheng-yao |
| Affiliation: | Department of Computer Science, Teachers College, Beijing Union University, Beijing 100011, China |
| Abstract: | The domain knowledge and its characters are discussed which is needed by the Gout-ITS to produce a typical cases, On this basis, the knowledge representation base of semantic tree and the depth first semantic traversal algorithm are brought forward, which are inherent in producing profitable cases. At last, the DFST algorithm and the depth first search algorithm of the AI are compared and the differences between them are showed. |
| Keywords: | intelligent tutoring system semantic tree depth first semantic traversal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |