Inference Model with Bayesian Networks in Werewolf Game

Takanori FUKUI, Kazunori IWATA, Nobuhiro ITO
JSAI Technical Report, Type 2 SIG  
In the Werewolf game, players's votes greatly affects winning and losing. We propose a method to analyze utterances of players by using Bayesian Networks and decide voting destination. There are numerous factors that determine the voting destination. Therefore we identify the factor that strongly influences the decision of the voting destination by use of decision tree analysis. In addition, a player's program is create based on the inference model constructed by the proposed method and its effectivenesss is verified.
doi:10.11517/jsaisigtwo.2018.sai-033_04 fatcat:qvz5dcvkbvhefkiz7adyvxoeqy