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人工智能驱动的机制作为法官:在国际象棋中打破关系
Nejat Anbarci1, Mehmet S Ismail2
1Department of Economics, Durham University, Durham, United Kingdom.
PloS one
|November 1, 2024
概括
人工智能 (AI) 通过评估对AI引擎的移动质量来增强国际象棋平局. 这种由人工智能驱动的方法确保了更公平的竞争,并在精英国际象棋锦标赛中保持了高标准的比赛.
科学领域:
- 运动分析 运动分析
- 人工智能的人工智能
- 游戏理论 游戏理论
背景情况:
- 人工智能 (AI) 在体育领域越来越多地用于决策.
- 传统的棋牌决赛通常会降低游戏质量.
- 在精英国际象棋中,需要客观和高标准的平局机制.
研究的目的:
- 提出一种新的人工智能驱动的方法,用于象棋中的客观平局.
- 用人工智能评估玩家移动的质量.
- 维护国际象棋比赛的完整性和高标准.
主要方法:
- 一个人工智能驱动的决胜机制被开发出来.
- 玩家的动作与领先的棋牌引擎 (Stockfish 16) 建议的最佳动作进行了比较.
- 该方法应用于来自世界象棋锦标赛比赛 (1910-2018) 大约25,000次大师移动的数据集.
主要成果:
- 人工智能方法提供了一个客观的措施来确定决赛胜利者.
- 这种方法确保在平局的情况下,移动质量更高的玩家获胜.
- 人工智能决赛方法的有效性在历史的大师数据上得到了证明.
结论:
- 拟议的人工智能方法为国际象棋提供了一个公平而客观的平局解决方案.
- 这项技术可以提高精英国际象棋比赛的完整性.
- 人工智能可以用于超越简单的任务,以改善体育的复杂方面.
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