Using Wordle for Learning to Design and Compare Strategies

Chao-Lin Liu
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引用次数: 7

Abstract

Wordle has become a very popular online game since November 2021. We designed and evaluated several strategies for solving Wordle in this paper. Our strategies achieved impressive performances in realistic evaluations that aimed to guess all of the known answers of the current Wordle. On average, we may solve a Wordle game with about 3.67 guesses, solve a Wordle game with six or fewer guesses higher than 98% of the time, and hit the answer with 2 or fewer guesses more than 5% of the time. In fact, our strategies are applicable to the word guessing games that are more general than the current Wordle. More importantly, we present our work in ways that our experiences may be used as classroom examples for learning to design strategies for computer games.
使用世界学习设计和比较策略
自2021年11月以来,《世界》已经成为一款非常受欢迎的网络游戏。在本文中,我们设计并评估了几种解决世界问题的策略。我们的策略在旨在猜测当前世界所有已知答案的现实评估中取得了令人印象深刻的表现。平均而言,我们可以用3.67次猜测来解决一个世界游戏,用6次或更少的猜测来解决一个世界游戏,98%以上的时间,用2次或更少的猜测来解决答案,超过5%的时间。事实上,我们的策略适用于比当前世界更普遍的猜字游戏。更重要的是,我们以一种我们的经验可以作为学习设计电脑游戏策略的课堂范例的方式来呈现我们的工作。
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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