An Agent Architecture for Knowledge Discovery and Evolution

被引:2
|
作者
Wanyana, Tezira [1 ,2 ]
Moodley, Deshendran [1 ,2 ]
机构
[1] Univ Cape Town UCT, Dept Comp Sci, Cape Town, South Africa
[2] Ctr Artificial Intelligence Res CAIR, Cape Town, South Africa
关键词
Agent architecture; BDI; Knowledge discovery and evolution; Abductive theory of method; INTERNET; SYSTEM; CARE;
D O I
10.1007/978-3-030-87626-5_18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The abductive theory of method (ATOM) was recently proposed to describe the process that scientists use for knowledge discovery. In this paper we propose an agent architecture for knowledge discovery and evolution (KDE) based on ATOM. The agent incorporates a combination of ontologies, rules and Bayesian networks for representing different aspects of its internal knowledge. The agent uses an external AI service to detect unexpected situations from incoming observations. It then uses rules to analyse the current situation and a Bayesian network for finding plausible explanations for unexpected situations. The architecture is evaluated and analysed on a use case application for monitoring daily household electricity consumption patterns.
引用
收藏
页码:241 / 256
页数:16
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