Exploring the Visual Styles of Arcade Game Assets
Exploring the Visual Styles of Arcade Game Assets
复制标题
探索街机游戏资产的视觉风格
DOI：
10.1007/978-3-319-31008-4_7
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Antonios Liapis
中科院分区：
文献类型：
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作者：
Antonios Liapis
本文描述了一种基于视频游戏的视觉特性来演化视频游戏资产的方法。专注于太空射击游戏的资产，由海龟命令组成的基因型被转换成由人类创作的精灵组件组成的宇宙飞船图像。由于最终飞船的可飞行性受到约束，本文研究了两种群约束优化和约束新奇搜索方法。测试了一个视觉风格的样本，每个样本都是主要评估平衡和形状复杂性的视觉指标的组合。约束优化的视觉风格的实验表明，一组视觉上一致的宇宙飞船可以生成，而约束新奇搜索的实验表明，几个不同的视觉风格，可以通过探索沿着选择，或所有，视觉尺寸。
This paper describes a method for evolving assets for video games based on their visuals properties. Focusing on assets for a space shooter game, a genotype consisting of turtle commands is transformed into a spaceship image composed of human-authored sprite components. Due to constraints on the final spaceships' plausibility, the paper investigates two-population constrained optimization and constrained novelty search methods. A sample of visual styles is tested, each a combination of visual metrics which primarily evaluate balance and shape complexity. Experiments with constrained optimization of a visual style demonstrate that a visually consistent set of spaceships can be generated, while experiments with constrained novelty search demonstrate that several distinct visual styles can be discovered by exploring along select, or all, visual dimensions.