Case-based introspective learning

Authors:
Zhongzhi Shi;Sulan Zhang
Affiliations:
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China;Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
Venue:
ICCI '05 Proceedings of the Fourth IEEE International Conference on Cognitive Informatics
Year:
2005

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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.