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

角色扮演游戏中的最小化是创造一个具有最大积极特征和最小消极特征的角色。如果min-maxing为游戏创造了显著最佳的游戏风格，它可能会产生负面的社会影响，被认为不遵循他们的玩家可能会被社区排斥。从这一点上，我希望看到如何机制可以用来创建一个角色扮演游戏，其中最小最大的字符建设提供没有显着的优势，比其他建设。为了实现这一目标，我将专注于开发一个模拟器，AI代理可以使用它来创建min-maxed角色，随后用于评估机制在帮助防止出现最佳游戏风格方面的有效性。这项研究将有助于创造更具创造性和平衡性的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.