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计算机应用 2007
Game design of self automation based on artificial neural nets and genetic algorithms
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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.