A categorical approach to data fusion

被引：0
|
作者：
Chemello, G. [1 ]
Sossai, C. [1 ]
机构：
[1] CNR, ISIB, Padua, Italy
来源：
2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2006年
关键词：
category theory; topos theory; sheaf theory; reasoning under uncertainty; data fusion;
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：
Using suitable topoi of presheaves, a categorical definition of measure is given. When the general definition is specialized to particular categories made of sets of possibility, probability or imprecise probability measures, the internal language of the corresponding topos gives a valid and complete proof system for the corresponding semantics. An application of this method to data fusion in mobile robotics is presented.
引用
收藏
页码：1802 / 1809
页数：8
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