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2017 | OriginalPaper | Chapter

Mining Preferences on Identifying Werewolf Players from Werewolf Game Logs

Authors : Yuki Hatori, Shuang Wu, Youchao Lin, Takehito Utsuro

Published in: Entertainment Computing – ICEC 2017

Publisher: Springer International Publishing

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Abstract

The deception party game “Are You a Werewolf?” requires players to guess other’s roles through discussions that are based on one’s own role and other players’ crucial utterances. This paper proposes a method to mine the empirical preference data used to identify werewolves from game logs. This involves obtaining an empirical preference related to the practice of divination. In this method, if one of the three players revealing oneself as a seer divines a player as a human, while the other two players divine the player as a werewolf, then it can be judged that the divined player’s role is a werewolf.

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Footnotes
1
We use WolfBBS (http://​ninjin002.​x0.​com/​wolff/​ (in Japanese) ) werewolf game log data. This is a werewolf game site on the Internet, where the players communicate with each other via a character-based text input communication channel. This werewolf game site keeps a record of the text data of the previous werewolf game logs and makes them publicly available.
 
2
This is simply because the werewolves’ side usually do not abandon a true werewolf player by divining him/her as a werewolf.
 
Literature
1.
go back to reference Chittaranjan, G., Hung, H.: Are you a werewolf? detecting deceptive roles and outcomes in a conversational role-playing game. In: Proceedings ICASSP, pp. 5334–5337 (2010) Chittaranjan, G., Hung, H.: Are you a werewolf? detecting deceptive roles and outcomes in a conversational role-playing game. In: Proceedings ICASSP, pp. 5334–5337 (2010)
2.
go back to reference Shinoda, T., et al.: “Are you a Werewolf?” becomes a standard problem for general artificial intelligence. In: Proceedings 28th Annual Conference JSAI (2014). (in Japanese) Shinoda, T., et al.: “Are you a Werewolf?” becomes a standard problem for general artificial intelligence. In: Proceedings 28th Annual Conference JSAI (2014). (in Japanese)
Metadata
Title
Mining Preferences on Identifying Werewolf Players from Werewolf Game Logs
Authors
Yuki Hatori
Shuang Wu
Youchao Lin
Takehito Utsuro
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-66715-7_38

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