%0 Journal Article
%T Game design of self automation based on artificial neural nets and genetic algorithms<br>一个基于神经网络和遗传算法的游戏自主角色的设计
%A JIANG Ning
%A ZHAI YU-qing
%A <br>蒋宁
%A 翟玉庆
%J 计算机应用
%D 2007
%I 
%X The self-automation of no-player-control role has been trends of video games. To improve self-automation of No-Player-Control(NPC) role,methodology of Artificial Neural Nets(ANN) was integrated with Genetic Algorithms,and self-learning models of NPC were created to control behaviors of NPC.The experimental results have shown that self-learning system of NPC provides artificial behaviors with more automation and intelligence.
%K self-automation
%K Artificial Neural Nets(ANN)
%K Genetic Algorithms(GA)<br>自主角色
%K 神经网络
%K 遗传算法
%K 优化神经网络
%K 遗传算法
%K 游戏角色
%K 方法设计
%K genetic
%K algorithms
%K artificial
%K neural
%K nets
%K based
%K automation
%K self
%K design
%K 智能化
%K 自学习系统
%K 确定性算法
%K 仿真实验
%K 学习模型
%K 框架
%K 利用
%K 设计思路
%K 结合
%K 认知模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051207331906DD51D1C6&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=2F8F471CEC23CD85&eid=7CF64E95CEC38520&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6