社论:坚持到底

M. Winands
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引用次数: 0

摘要

由于新冠肺炎大流行,我们生活在一个混乱和忙碌的时代。作为编辑委员会,我们祝愿您和您的家人安全健康。与此同时,我们努力保持我们出版物的质量和速度,就像你习惯的那样。因此,我很高兴向大家介绍今年的第一期。里面有两篇科学文章。第一个贡献,国际象棋的描述语言,由Manuel Cristóbal López-Michelone和Jorge Ortega-Arjona提供,以模式的形式呈现了国际象棋位置的直接表示语言。通过使用这种象棋模式语言,计算机程序能够更容易地找到相似的象棋配置。此外,这种语言可以用来解释为什么一些典型的操作实际上在某些模式下有效。第二个贡献,用于教学强化学习的游戏,通过并将游戏用于教育目的。他们认为这类游戏因为其简单性而非常适合使用这种方法,这类游戏可以被描述为单人随机益智游戏,即由滑动的带有数字的砖块组合成带有更大数字的砖块。本文提出了使用这些游戏进行强化学习和计算机游戏算法教学的指导方针。
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Editorial: Stay the course
We are living in confusing and hectic times due to the COVID-19 pandemic. As Editorial Board, we wish that you and your families stay safe and healthy. At the same time, we try to maintain the quality and pace of our publications as you are used to. It is therefore my pleasure to present you the first issue of this year. It contains two scientific articles. The first contribution, A description language for chess , by Manuel Cristóbal López-Michelone and Jorge Ortega-Arjona, presents a straightforward representation language for chess positions as patterns. By using this chess pattern language a computer program is able to find more easily similar chess configurations. Further, this language can be used to explain why some typical maneuvers actually work in some patterns. The second contribution, games for teaching reinforcement learning , by and is using games for educational purposes. They argue that games such as highly suitable for this due to their simplicity and These can be characterized as single-player stochastic puzzle games, which consist of sliding numbered-tiles that combine to form tiles with larger numbers. The article proposes a guideline for using these games for teaching reinforcement-learning and computer-game algorithms.
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