Case-based introspective learning

被引：0

作者：

Shi, ZZ ^{[1
]}

Zhang, SL ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China

来源：

ICCI 2005: Fourth IEEE International Conference on Cognitive Informatics - Proceedings | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：43 / 48

页数：6

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