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Intelligent Behavioral Design of Non-player Characters in a FPS Video Game Through PSO

机译:通过PSO的FPS视频游戏中非玩家角色的智能行为设计

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Although barely explored so far, swarm intelligence can arguably have a profound impact on video games; for instance, as a simple yet effective approach for the realistic intelligent behavior of Non-Player Characters (NPCs). In this context, we describe the application of particle swarm optimization to the behavioral design of NPCs in a first-person shooter video game. The feasibility and performance of our method is analyzed through some computer experiments. They show that the proposed approach performs very well and can be successfully used in a fully automatic (i.e., without any human player) and efficient way.
机译:尽管到目前为止尚未进行探索,但是群体智能可以说对视频游戏产生了深远的影响。例如,作为一种简单而有效的方法来实现非玩家角色(NPC)的现实智能行为。在这种情况下,我们描述了粒子群优化在第一人称射击游戏中对NPC行为设计的应用。通过一些计算机实验分析了我们方法的可行性和性能。他们表明,所提出的方法性能非常好,并且可以以全自动(即没有任何人工参与)和有效的方式成功使用。

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