Learning grammars with a modified classifier system

被引：0
|
作者：
Cyre, W [1 ]
机构：
[1] Virginia Tech, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
来源：
CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2002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：
This paper describes a modified learning classifier system for evolving grammars from small, handcrafted grammars. The algorithm uses distinct discovery and evaluation steps, and a culling step to reduce ambiguity. It performs surprisingly well in developing grammars for very complex sentences in a restricted domain of English, and in some experiments the grammar's competence improved up to tenfold.
引用
收藏
页码：1366 / 1371
页数：6
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