论文标题
竞争性多人游戏的Metagame自动平衡
Metagame Autobalancing for Competitive Multiplayer Games
论文作者
论文摘要
自动化游戏平衡通常集中在单一代理方案上。在本文中，我们提供了一种在游戏设计过程中平衡多玩家游戏的工具。我们的方法要求设计师构建其元游戏目标的直观图形表示，代表高级策略（或甲板或角色类型）应该经历的相对得分。这允许更复杂的平衡目标被定义，超出了同等获胜机会的简单要求。然后，我们找到了使用基于仿真的优化来最大程度地减少到目标图的距离的游戏的参数化，该游戏的参数化。我们以岩石剪辑器和更复杂的不对称格斗游戏的示例显示了此工具的功能。
Automated game balancing has often focused on single-agent scenarios. In this paper we present a tool for balancing multi-player games during game design. Our approach requires a designer to construct an intuitive graphical representation of their meta-game target, representing the relative scores that high-level strategies (or decks, or character types) should experience. This permits more sophisticated balance targets to be defined beyond a simple requirement of equal win chances. We then find a parameterization of the game that meets this target using simulation-based optimization to minimize the distance to the target graph. We show the capabilities of this tool on examples inheriting from Rock-Paper-Scissors, and on a more complex asymmetric fighting game.
