Novel methods for fusing Bayesian network knowledge fragments in d’brain

G. Ng, K. Ng, K. H. Tan, Chong Hock K. Goh
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引用次数: 7

Abstract

In this paper, we present two novel methods to handle the fusion of multiple Bayesian Network knowledge fragments which we termed N-Combinator and N-Clone. In DSO National Laboratories, we have developed a cognition based dynamic reasoning machine called D'Brain capable of performing high level data fusion. Knowledge is encapsulated in D'Brain as Bayesian Networks knowledge fragments. D'Brain is dynamic in its reasoning mechanism that resembles human reasoning, where the knowledge structure is ever evolving with the different sources of observable inputs. N-Combinator and N-Clone are the methods used in the dynamic reasoning mechanism. Experiments have shown the good performance of these two methods.
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脑内贝叶斯网络知识片段融合的新方法
本文提出了两种处理多贝叶斯网络知识片段融合的新方法,分别称为N-Combinator和N-Clone。在DSO国家实验室,我们开发了一种基于认知的动态推理机器,称为D'Brain,能够执行高水平的数据融合。知识在D'Brain中被封装为贝叶斯网络知识片段。D'Brain的推理机制是动态的,类似于人类的推理,其知识结构随着可观察到的输入的不同来源而不断发展。N-Combinator和N-Clone是动态推理机制中使用的方法。实验证明了这两种方法的良好性能。
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