Using Mechanics to Reduce the Effectiveness of Min-Maxing in Role-Playing Games

在角色扮演游戏中，最小最大限度地创造出一个具有最多积极特征和最少消极特征的角色。如果Min-Making为一款游戏创造了显著的最佳游戏风格，它可能会产生负面的社会影响，被认为没有遵循这些风格的玩家可能会被社区排斥。从这一点上，我希望看到如何使用机制来创建一个角色扮演游戏，其中最小最大的角色构建没有提供比其他构建显着的优势。为了实现这一点，我将专注于开发一个模拟器，AI代理可以使用它来创建最小最大的角色，然后用它来评估机制在帮助防止出现最佳播放风格方面的有效性。这项研究将有助于创造更有创意和平衡的RPG，这将允许更广泛的游戏风格和更具包容性的社会环境。

Min-maxing in role-playing games is creating a character with maximum positive traits and minimal negative ones. If min-maxing creates significantly optimal playstyles for a game, it can create a negative social effect where players deemed to be not following them can be ostracised from the community. From this I wish to see how mechanics can be used to create a role-playing game where min-maxed character builds provide no significant advantage over other builds. To achieve this, I will focus on developing a simulator which AI agents can use to create min-maxed characters, which are subsequently used to evaluate the effectives of mechanics in helping prevent an optimal playstyle from emerging. This research will help to create more creative and balanced RPGs, which will allow for a wider variety of playstyles and a more inclusive social environment.