Reasoning over Linear Probabilistic Knowledge Bases with Priorities

被引：6

作者：

Potyka, Nico ^{[1
]}

机构：

[1] Fern Univ Hagen, Dept Comp Sci, Hagen, Germany

来源：

SCALABLE UNCERTAINTY MANAGEMENT (SUM 2015) | 2015年 / 9310卷

关键词：

D O I：

10.1007/978-3-319-23540-0_9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We consider the problem of reasoning over probabilistic knowledge bases with different priority levels. While we assume that the knowledge is consistent on each level, there can be inconsistencies between different levels. Examples arise naturally in hierarchical domains when general knowledge is overwritten with more specific information. We extend recent results on inconsistency-tolerant probabilistic reasoning to propose a solution for this problem.

引用

页码：121 / 136

页数：16

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