Evolving content in the Galactic Arms Race video game
Evolving content in the Galactic Arms Race video game
复制标题
银河军备竞赛视频游戏中不断发展的内容
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Kenneth O. Stanley
中科院分区：
文献类型：
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作者：
E. Hastings;R. Guha;Kenneth O. Stanley
视频游戏内容包括玩家在游戏中遇到和使用的关卡、模型、物品、武器和其他物品。在大多数现代视频游戏中，游戏附带的内容集是静态的、不变的，或者充其量是在一组狭窄的参数中随机化的。然而，理想情况下，如果游戏内容能够不断更新，玩家将更长时间地沉浸在不断演变的新奇内容中。为了实现这一雄心壮志，本文引入了内容生成神经进化增强拓扑(CgNEAT)算法，该算法在游戏进行时根据玩家的偏好自动进化游戏内容。为了演示这一方法，还引入了银河军备竞赛(GAR)视频游戏。在GAR中，玩家驾驶太空船并与敌人战斗，以获得游戏进化出的独特的粒子系统武器。如本文所示，玩家可以发现各种各样的内容，这些内容不仅是新奇的，而且是基于他们过去喜欢的先前内容并在其基础上扩展的。这意味着，现在有可能创造出自己的内容来满足玩家的游戏，潜在地显著降低了内容创造的成本，并增加了游戏的重播价值。
Video game content includes the levels, models, items, weapons, and other objects encountered and wielded by players during the game. In most modern video games, the set of content shipped with the game is static and unchanging, or at best, randomized within a narrow set of parameters. However, ideally, if game content could be constantly renewed, players would remain engaged longer in the evolving stream of novel content. To realize this ambition, this paper introduces the content-generating NeuroEvolution of Augmenting Topologies (cgNEAT) algorithm, which automatically evolves game content based on player preferences, as the game is played. To demonstrate this approach, the Galactic Arms Race (GAR) video game is also introduced. In GAR, players pilot space ships and fight enemies to acquire unique particle system weapons that are evolved by the game. As shown in this paper, players can discover a wide variety of content that is not only novel, but also based on and extended from previous content that they preferred in the past. The implication is that it is now possible to create games that generate their own content to satisfy players, potentially significantly reducing the cost of content creation and increasing the replay value of games.