What Constitutes Fairness in Games? A Case Study with Scrabble
What Constitutes Fairness in Games? A Case Study with Scrabble
复制标题
DOI：
10.3390/info12090352
复制
发表时间：
2021-08
期刊：
影响因子：
--
通讯作者：
H. Aung;M. Khalid;H. Iida
中科院分区：
文献类型：
--
作者：
H. Aung;M. Khalid;H. Iida
这种被称为“科米”的补偿系统已被用于围棋等计分游戏。在围棋中，白棋（第二个玩家）处于劣势，因为黑棋先走一步，给了对方优势；事实上，黑棋的胜率更高。多年来，为了保持公平，人们对科米的感知价值进行了重新评估。然而，这意味着这个静态komi不是一个足够复杂的解决方案。我们利用围棋中现有的komi方法来研究棋盘游戏中公平性的演变，并将公平性概念推广到其他情境中。这项工作重新审视了公平的概念，并提出了动态komi Scrabble的概念。在Scrabble中引入静态和动态两种方法来缓解主动优势（AoI）问题，提高公平性。我们发现，执行动态komi可以让游戏更具吸引力，并提供直接的实时反馈，这对于新手玩家的培训和保持资深玩家的公平性非常有用。我们还讨论了一种可能的解释，即关于游戏公平性的游戏优化理论。
The compensation system called komi has been used in scoring games such as Go. In Go, White (the second player) is at a disadvantage because Black gets to move first, giving that player an advantage; indeed, the winning percentage for Black is higher. The perceived value of komi has been re-evaluated over the years to maintain fairness. However, this implies that this static komi is not a sufficiently sophisticated solution. We leveraged existing komi methods in Go to study the evolution of fairness in board games and to generalize the concept of fairness in other contexts. This work revisits the notion of fairness and proposes the concept of dynamic komi Scrabble. We introduce two approaches, static and dynamic komi, in Scrabble to mitigate the advantage of initiative (AoI) issue and to improve fairness. We found that implementing the dynamic komi made the game attractive and provided direct real-time feedback, which is useful for the training of novice players and maintaining fairness for skilled players. A possible interpretation of physics-in-mind is also discussed for enhancing game refinement theory concerning fairness in games.