Issues in Temporal and Causal Inference

被引:6
|
作者
Wang, Pei [1 ]
Hammer, Patrick [2 ]
机构
[1] Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
[2] Graz Univ Technol, Inst Optimizat & Discrete Math, A-8010 Graz, Austria
关键词
D O I
10.1007/978-3-319-21365-1_22
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 discusses several key issues in temporal and causal inference in the context of AGI. The main conclusions are: (1) the representation of temporal information should take multiple forms; (2) classical conditioning can be carried out as temporal inference; (3) causal inference can be realized without a predefined causal relation.
引用
收藏
页码:208 / 217
页数:10
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