DocumentCode
2409786
Title
Case-based introspective learning
Author
Shi, Zhongzhi ; Zhang, Sulan
Author_Institution
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
fYear
2005
fDate
8-10 Aug. 2005
Firstpage
43
Lastpage
48
Abstract
Introspective learning, as a method to improve the learning efficiency, has become an active area of research. In this paper, introspective learning and a general introspective learning mode are discussed. Some related problems such as meta-level reasoning, taxonomy of failure, and the relation between case-based reasoning and introspective learning are represented. Based on the importance of case-based reasoning in introspective learning, a case representation and case retrieval mechanism appropriate to introspective learning are described in detail.
Keywords
case-based reasoning; learning (artificial intelligence); case representation; case retrieval; case-based introspective learning; case-based reasoning; failure taxonomy; metalevel reasoning; Computers; Failure analysis; Intelligent systems; Learning systems; Machine learning; Performance analysis; Problem-solving; Psychology; Taxonomy; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2005. (ICCI 2005). Fourth IEEE Conference on
Print_ISBN
0-7803-9136-5
Type
conf
DOI
10.1109/COGINF.2005.1532614
Filename
1532614
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