Petalz: Search-Based Procedural Content Generation for the Casual Gamer

Q2 Computer Science IEEE Transactions on Computational Intelligence and AI in Games Pub Date : 2016-09-01 DOI:10.1109/TCIAIG.2015.2416206

S. Risi, J. Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley

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引用次数: 46

Abstract

The impact of game content on the player experience is potentially more critical in casual games than in competitive games because of the diminished role of strategic or tactical diversions. Interestingly, until now procedural content generation (PCG) has nevertheless been investigated almost exclusively in the context of competitive, skills-based gaming. This paper therefore opens a new direction for PCG by placing it at the center of an entirely casual flower-breeding game platform called Petalz. That way, the behavior of players and their reactions to different game mechanics in a casual environment driven by PCG can be investigated. In particular, players in Petalz can: 1) trade their discoveries in a global marketplace; 2) respond to an incentive system that awards diversity; and 3) generate real-world 3-D replicas of their evolved flowers. With over 1900 registered online users and 38 646 unique evolved flowers, Petalz showcases the potential for PCG to enable these kinds of casual game mechanics, thus paving the way for continued innovation with PCG in casual gaming.

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Petalz:面向休闲玩家的基于搜索的程序内容生成

在休闲游戏中，游戏内容对玩家体验的影响可能比竞争游戏更重要，因为战略或战术转移的作用较小。有趣的是，到目前为止，程序内容生成(PCG)几乎都是在竞争性、基于技能的游戏中进行研究的。因此，本文通过将PCG置于名为Petalz的休闲花卉培育游戏平台的中心，为PCG开辟了一个新方向。这样，玩家的行为以及他们在由PCG驱动的休闲环境中对不同游戏机制的反应就可以得到调查。特别是，《Petalz》的玩家可以:1)在全球市场上交易他们的发现;2)回应奖励多样性的激励机制;3)生成它们进化花朵的真实3d复制品。Petalz拥有超过1900名注册在线用户和38646种独特的进化花朵，展示了PCG在这些休闲游戏机制中的潜力，从而为PCG在休闲游戏中的持续创新铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Computational Intelligence and AI in Games COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, SOFTWARE ENGINEERING

CiteScore

4.60

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Cessation. The IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG) publishes archival journal quality original papers in computational intelligence and related areas in artificial intelligence applied to games, including but not limited to videogames, mathematical games, human–computer interactions in games, and games involving physical objects. Emphasis is placed on the use of these methods to improve performance in and understanding of the dynamics of games, as well as gaining insight into the properties of the methods as applied to games. It also includes using games as a platform for building intelligent embedded agents for the real world. Papers connecting games to all areas of computational intelligence and traditional AI are considered.