| 一种解释学习系统的模型EBL／GA |
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| 引用本文： | 王彤,石纯一.一种解释学习系统的模型EBL／GA[J].计算机学报,1997,20(2):125-132. |
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| 作者姓名： | 王彤 石纯一 |
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| 作者单位： | 清华大学计算机科学与技术系 |
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| 摘 要： | 解释学习是演绎式学习方法，而遗传算法是归纳式学习方法。本文提出的解释学习系统模型ＥＢＬ／ＧＡ，结合两者的优点提高了系统的效用。
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| 关 键 词： | 解释学习 效用问题 遗传算法 系统模型 EBL／GA |
EBL/GA: A MODEL OF EXPLANATION-BASED LEARNING SYSTEM |
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| WANG Tong, SHI Chunyi.EBL/GA: A MODEL OF EXPLANATION-BASED LEARNING SYSTEM[J].Chinese Journal of Computers,1997,20(2):125-132. |
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| Authors: | WANG Tong SHI Chunyi |
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| Abstract: | Explanation-based learning (EBL) is a deductive learning paradigm, while the genetic algorithm (GA) is an inductive one. In the learning system model EBL/GA proposed in this paper, these two different kinds of learning paradigm are hybridized in order to improve the performance of the system. The learned rules (called macro rules) need not be operational in EBL/GA, thus greatly expands the space of macro rules. GA search effectively in the expanded space for more useful macro rules. The experimental result of EBL/GA model is satisfying. At the end of this paper, two reasons why EBL/GA is better than PRODIGY in utility improvement are given. |
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| Keywords: | Explanation-based learning utility problem genetic algorithms system model |
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