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OALib Journal期刊
ISSN: 2333-9721
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Game design of self automation based on artificial neural nets and genetic algorithms
一个基于神经网络和遗传算法的游戏自主角色的设计

Keywords: self-automation,Artificial Neural Nets(ANN),Genetic Algorithms(GA)
自主角色
,神经网络,遗传算法,优化神经网络,遗传算法,游戏角色,方法设计,genetic,algorithms,artificial,neural,nets,based,automation,self,design,智能化,自学习系统,确定性算法,仿真实验,学习模型,框架,利用,设计思路,结合,认知模型

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Abstract:

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.

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