AOC-by-self-discovery modeling and simulation for HIV - 文章详情页

作者：

Zhao, C. (Zhao, C..) | Zhong, N. (Zhong, N..) | Hao, Y. (Hao, Y..)

收录：

Scopus

摘要：

Among　HIV,　immune　cell　and　drug,　exhibit　interactions　that　are　usually　not　well　understood　and　as　a　result,　cannot　be　accurately　modeled.　In　this　paper,　Modeling　by　AOC　is　to　understand　the　dynamics　of　HIV　infection　and　treatment.　The　use　of　AOC-by-self-discovery　modeling　was　investigated.　AOC-by-self-　discovery　methods　try　to　adjust　the　system　parameters　automatically.　To　demonstrate　the　effects　of　therapies,　we　design　and　implement　a　HIV　Computational　Lab　prototype.　HIV　Computational　Lab　is　an　AOC-based　simulation　of　HIV　immune　dynamics　that　is　currently　being　developed　in　NetLogo.　It　allows　researches　to　investigate　dependencies　various　immune　responses　to　HIV.　The　HIV　Computational　Lab　provides　a　good　tool　to　characterize　the　process　of　HIV　infection　and　study　HIV　drug　treatment.　©　Springer-Verlag　Berlin　Heidelberg　2007.

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作者机构：

[ 1 ] [Zhao, C.]Department of Computer, Beijing University of Civil Engineering and Architecture, China
[ 2 ] [Zhao, C.]International WIC Institute, Beijing University of Technology, China
[ 3 ] [Zhong, N.]International WIC Institute, Beijing University of Technology, China
[ 4 ] [Zhong, N.]Department of Information Engineering, Maebashi Institute of Technology, Japan
[ 5 ] [Hao, Y.]Department of Computer, Beijing University of Civil Engineering and Architecture, China

通讯作者信息：

[Zhao, C.]Department of Computer, Beijing University of Civil Engineering and ArchitectureChina

电子邮件地址：

zhaochunxiao@sohu.com

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