如何成功举办基于游戏的AI竞赛

Q2 Computer Science
J. Togelius
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引用次数: 34

摘要

基于游戏的竞赛通常用于游戏社区中的计算智能(CI)和人工智能(AI),以测试算法并吸引新的研究人员。虽然许多比赛都是基于不同的游戏而组织的,但这些比赛的成功程度却参差不齐。这篇短文是竞赛组织者和有抱负的竞赛组织者的自助论文。在分析了近年来一些比赛的命运后,列出了一些可能影响比赛成败的因素,并提出了一套具体的建议。我们还讨论了如何编写基于游戏的AI竞赛,以及我们最终可以从中学到什么。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to Run a Successful Game-Based AI Competition
Game-based competitions are commonly used within the Computational Intelligence (CI) and Artificial Intelligence (AI) in games community to benchmark algorithms and to attract new researchers. While many competitions have been organized based on different games, the success of these competitions is highly varied. This short paper is a self-help paper for competition organizers and aspiring competition organizers. After analyzing the fate of a number of recent competitions, some factors likely to contribute to the success or failure of a competition are laid out, and a set of concrete recommendations is offered. There is also a discussion of how to write up game-based AI competitions and what we can ultimately learn from them.
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来源期刊
IEEE Transactions on Computational Intelligence and AI in Games
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
0
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.
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