Learning action theories with ramifications

被引：0
|
作者：
Lorenzo, D [1 ]
机构：
[1] Univ A Coruna, Dept Comp Sci, La Coruna 15071, Spain
来源：
PROGRESS IN ARTIFICIAL INTELLIGENCE-B | 2003年 / 2902卷
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：
A logic programming formalization of action domains has been well-studied and some work exists on the combination with learning methods. We extend previous work to deal with the indirect effects of actions and to solve the problems derived from cyclic dependences.
引用
收藏
页码：259 / 263
页数：5
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