多人在线竞技场游戏:通过团体角色分配进行有吸引力的匹配

Zeyu Li, Haibin Zhu, Dongning Liu
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引用次数: 0

摘要

囚徒困境(PD)是科学文献中最流行的概念之一。这一概念被广泛用于研究参与者在不知情的环境中选择放弃还是合作的各种社会互动。本文发现,多人在线竞技场(MOBA)游戏中的匹配问题是一个混合偏好下的 PD 问题(PDUMP)。为了在 MOBA 游戏中实现高效可行的匹配,本文通过群体角色分配(GRA)将问题形式化。通过扩展 GRA,提出了一种新的 PDUMP 解决方案。通过考虑玩家的正偏好和负偏好,游戏管理者可以快速将玩家匹配到游戏中。这确保了游戏的公平性,并尽可能满足参与者的需求。大规模实验验证了该方法的有效性和实用性,并证明所提出的方法可以提高玩家匹配满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiplayer Online Battle Arena Games: Attractive Matchmaking via Group Role Assignment
The prisoner’s dilemma (PD) is one of the most popular concepts in scientific literature. This concept is widely used to study various social interactions where participants choose to give up or cooperate in an uninformed environment. This article finds that the matchmaking problem, such as in multiplayer online battle arena (MOBA) games, is a PD problem under mixed preferences (PDUMP). To achieve efficient and feasible matching in MOBA, this article formalizes the problem via group role assignment (GRA). By extending GRA, a new PDUMP solution is proposed. By considering players’ positive and negative preferences, game managers can quickly match players to games. This ensures game fairness and strives to meet participant needs as much as possible. Large-scale experiments verify the effectiveness and practicability of the method and prove that the proposed method can improve the degree of player matching satisfaction.
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