关于国际象棋方块的价值 国际象棋方块的价值
Aditya Gupta1, Shiva Maharaj1, Nicholas Polson2
1Chess ED, 729 Colby Ct, Gurnee, IL 60031, USA.
Entropy (Basel, Switzerland)
|October 28, 2023
概括
这项研究引入了一个神经网络来评估象棋棋子-方形组合,超越固定值来评估位置优势. 这种人工智能方法增强了传统的国际象棋评估,以更好地进行游戏分析.
科学领域:
- 人工智能的人工智能
- 计算游戏理论 计算游戏理论
- 国际象棋分析 国际象棋分析
背景情况:
- 传统的棋牌引擎赋予静态的,以棋子为中心的值.
- 评估块-方形相互作用对于准确的位置评估至关重要.
- 现有的方法缺乏动态估值的作品放置.
研究的目的:
- 开发一个神经网络模型,用于动态的象棋方块估值.
- 改进传统的固定零件价值体系.
- 量化特定作品放置的优点或缺点.
主要方法:
- 使用神经网络架构.
- 输入一个三元组 (颜色,块,方形) 进行分析.
- 使用深度Q学习来估计模型参数.
- 引入边际估值以提高准确性.
主要成果:
- 该模型准确地评估了国际象棋位置的价值.
- 在评估骑士和主教的位置方面表现出有效性.
- 提供了基于方块组合的抵押品估值的见解.
结论:
- 基于神经网络的边际估值提供了一种优越的方法,比传统的象棋块价值更高.
- 该模型提供了对象棋位置的动态和上下文意识的评估.
- 未来的研究可以将这种方法扩展到其他象棋元素和策略.
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