Mining Preferences on Identifying Werewolf Players from Werewolf Game Logs

  • Yuki Hatori
  • Shuang Wu
  • Youchao Lin
  • Takehito Utsuro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10507)

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.

Keywords

The werewolf game “Are You a Werewolf?” Game logs Mining 

References

  1. 1.
    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)Google Scholar
  2. 2.
    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)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  • Yuki Hatori
    • 1
  • Shuang Wu
    • 1
  • Youchao Lin
    • 1
  • Takehito Utsuro
    • 1
  1. 1.Graduate School of Systems and Information EngineeringUniversity of TsukubaTsukubaJapan

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