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Generating a werewolf game log digest of inferring each player's role

机译:生成推断每个玩家角色的狼人游戏日志摘要

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While playing the communication game “Are You a Werewolf”, a player always guesses other players' roles through discussions, based on one's own role and other players' crucial utterances. The underlying goal of this paper is to construct an agent that can analyze the participating players' utterances and play the werewolf game as if it is a human. For the first step of this underlying goal, given a specific player participating in the wolf game, this paper studies how to generate a digest of inferring other players' roles from the viewpoint of the given specific player. In this inference process, we regard the werewolf game rules as well as certain common sense as inference rules. Then, we develop a set of inference rules and apply them to infer the participating players' roles from a real werewolf game log.
机译:在玩交流游戏“ Are You a Werewolf”时,玩家总是根据自己的角色和其他玩家的重要讲话通过讨论来猜测其他玩家的角色。本文的基本目标是构建一个代理,可以分析参与参与者的话语并像玩人类一样玩狼人游戏。对于此基本目标的第一步,给定特定的参与者参加狼游戏,本文研究如何从给定的特定玩家的角度生成推断其他玩家角色的摘要。在此推理过程中,我们将狼人游戏规则以及某些常识视为推理规则。然后,我们开发了一组推理规则,并将其应用于从真实的狼人游戏日志中推断出参与玩家的角色。

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