Mining Preferences on Identifying Werewolf Players from Werewolf Game Logs - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2017

Mining Preferences on Identifying Werewolf Players from Werewolf Game Logs

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.
Fichier principal
Vignette du fichier
978-3-319-66715-7_38_Chapter.pdf (107.3 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01771264 , version 1 (19-04-2018)

Licence

Identifiers

Cite

Yuki Hatori, Shuang Wu, Youchao Lin, Takehito Utsuro. Mining Preferences on Identifying Werewolf Players from Werewolf Game Logs. 16th International Conference on Entertainment Computing (ICEC), Sep 2017, Tsukuba City, Japan. pp.353-356, ⟨10.1007/978-3-319-66715-7_38⟩. ⟨hal-01771264⟩
273 View
119 Download

Altmetric

Share

More