Improved look-ahead based DMU algorithm for interactive dynamic influence diagrams

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	Improved look-ahead based DMU algorithm for interactive dynamic influence diagrams
	Tian, Le ; Cao, Lang-Cai ; Cao LC(曹浪财)
刊名	http://dx.doi.org/10.3969/j.issn.1001-506X.2014.06.29
	2014
关键词	Bioinformatics
英文摘要	The discriminative model update (DMU) is a common algorithm for solving interactive dynamic influence diagrams (I-DIDs). The look-ahead method is used to give an improved discriminative model update algorithm which determines approximate behavior equivalence. Firstly, the models that are approximately behavior equivalent are clustered into a representative model set. Then the models within the representative model set are updated from top to bottom. In the updating process, only the models whose predictive behavior is different from others are updated.compared with the DMU algorithm, the proposed algorithm can quickly and effectively reduce the model's number, thus reducing the storage space and the running time of the computer, and improving the efficiency of the algorithm. The effectiveness of the proposed method is verified through experiments on the multi-agent tiger and multi-agent machine maintenance problems.
语种	英语
出版者	Chinese Institute of Electronics
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92983]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Tian, Le,Cao, Lang-Cai,Cao LC. Improved look-ahead based DMU algorithm for interactive dynamic influence diagrams[J]. http://dx.doi.org/10.3969/j.issn.1001-506X.2014.06.29,2014.
APA	Tian, Le,Cao, Lang-Cai,&曹浪财.(2014).Improved look-ahead based DMU algorithm for interactive dynamic influence diagrams.http://dx.doi.org/10.3969/j.issn.1001-506X.2014.06.29.
MLA	Tian, Le,et al."Improved look-ahead based DMU algorithm for interactive dynamic influence diagrams".http://dx.doi.org/10.3969/j.issn.1001-506X.2014.06.29 (2014).