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REVIEWING THE USE OF GENETIC ALGORITHMS IN A REAL-TIME COMPUTER GAME

机译:回顾遗传算法在实时计算机游戏中的使用

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Results from the research on Design Problem Solving which used Genetic Algorithms (GAs) showed many promising aspects, as well as limitations, of the approach within a design domain. This paper attempts to apply these concepts for a real-time computer game engine and appraise the features that appeared in design. Gameplay can be defined as a problem solving process, and will contribute to this research. A new model, known as the Evolutionary Intelligent Character (EIC) model, was created to examine the use of GAs to control game characters or to solve a problem in a real-time computer game. The features, both benefits and limitations, which emerged in the design process, will be reviewed in a dynamic game environment.
机译:使用遗传算法(GA)进行的设计问题解决研究的结果表明,该方法在设计领域内具有许多有希望的方面,同时也存在局限性。本文尝试将这些概念应用于实时计算机游戏引擎,并评估设计中出现的功能。游戏玩法可以定义为一个解决问题的过程,并将为这项研究做出贡献。创建了一种称为进化智能角色(EIC)模型的新模型,以检查GA在控制实时游戏中使用角色来控制游戏角色或解决问题的能力。设计过程中出现的功能(包括优点和限制),将在动态游戏环境中进行审查。

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