Explanation-based learning: A knowledge level analysis

作者:Eva Armengol, Enric Plaza

摘要

This paper presents an overview of explanation-based learning (EBL) where the descriptions of EBL methods are realized at the knowledge level. Knowledge level description is a proposal that emphasizes the knowledge content and usage and abstracts away implementation details. Analyzing six different EBL methods at the knowledge level it can be shown what is their shared structure and illuminates their differences in a common framework of description. To describe EBL we use the Components of Expertise (Steels 1991), a knowledge level methodology currently used to describe, analyze, and support the development of expert systems.

论文关键词:Machine learning, explanation-based learning, knowledge level modelling, components of expertise

论文评审过程:

论文官网地址:https://doi.org/10.1007/BF00857652