Coevolutionary automatic game content generation of physics and flighting style games

物理和飞行风格游戏的协同进化自动游戏内容生成

• 批准号: 499792-2016
• 负责人: Heywood, Malcolm
• 金额: $ 5.34万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=607678
• 关键词: Coevolutionary; automatic; game; content; generation

Procedural content generation (PCG) represents an automatic process by which content for computer games is automatically created. As such, it has the potential to significantly reduce the cost of game development. Commercial products are available for automatically generating visual content. Moreover, there have been several results over the last five years in which significant advances have been made to PCG for describing the structural layout of material encountered in a game. Examples include the automatic generation of 'maze like worlds' as encountered in the adventure genre of computer games, and specific instances of content for platform style games - such as 'Super Mario Bros' - or physics puzzle style games such as 'Cut the Rope'.

过程内容生成(PCG)表示自动创建用于计算机游戏的内容的自动过程。因此，它具有显著降低游戏开发成本的潜力。商业产品可用于自动生成可视内容。此外，在过去的五年中，有几个结果表明，在描述游戏中遇到的材料的结构布局方面，PCG取得了重大进展。这方面的例子包括电脑游戏冒险类游戏中所遇到的“迷宫般的世界”的自动生成，以及平台式游戏(如《超级马里奥兄弟》)或物理益智类游戏(如《割断绳子》)的特定内容实例。