Diversity of Rule-based Approaches: Classic Systems and Recent Applications

被引：2
|
作者：
Nalepa, Grzegorz J. [1 ,2 ]
机构：
[1] Jagiellonian Univ, Krakow, Poland
[2] AGH Univ Sci & Technol, Krakow, Poland
来源：
AVANT | 2016年 / 7卷 / 02期
关键词：
rules; knowledge engineering; learning; context-aware systems; cognitive-architectures;
D O I：
10.26913/70202016.0112.0006
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
Rules are a common symbolic model of knowledge. Rule-based systems share roots in cognitive science and artificial intelligence. In the former, they are mostly used in cognitive architectures; in the latter, they are developed in several domains including knowledge engineering and machine learning. This paper aims to give an overview of these issues with the focus on the current research perspective of artificial intelligence. Moreover, in this setting we discuss our results in the design of rule-based systems and their applications in context-aware and business intelligence systems.
引用
收藏
页码：104 / 116
页数：13
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