This paper focuses on the emergence of communication to support cooperation in environments modeled as social deduction games (SDG), that are games where players communicate freely to deduce each others' hidden intentions. We first state the problem by giving a general formalization of SDG and a possible solution framework based on reinforcement learning. Next, we focus on a specific SDG, known as The Werewolf, and study if and how various forms of communication influence the outcome of the game. Experimental results show that introducing a communication signal greatly increases the winning chances of a class of players. We also study the effect of the signal's length and range on the overall performance showing a non-linear relationship.

翻译：本文重点介绍在社会减税游戏(SDG)模式环境中支持合作的交流的出现,这种环境是玩家自由交流以推断彼此隐藏意图的游戏。我们首先通过对SDG的普遍正规化和基于强化学习的可能的解决方案框架来说明问题。接下来,我们侧重于一个特定的SDG,称为“狼人”,并研究各种通信形式是否以及如何影响游戏的结果。实验结果表明,引入通信信号会大大增加某类玩家的胜出机会。我们还研究了信号的长度和范围对显示非线性关系的总体表现的影响。