2:00 PM - 2:20 PM
[1N1-03] Prediction with LSTM and Analysis of Werewolf
Keywords:AI, Werewolf, Agent
In recent years, Werewolf has attracted attention in the field of Artificial Intelligence(AI).
Werewolf is a kind of communication game and it is classified as incomplete information game.
Since Werewolf has unknown information, it is one of good strategy to judge unknown information based on the prediction. Information that player can know is limited, and fake may be mixed in it. In this paper, it is aimed to predict under uncertain information by learning the tendency of players from limited information in Werewolf. In order to consider the time series of Werewolf, LSTM was used. In addition, Werewolf was analyzed using prediction model made by learning.
Werewolf is a kind of communication game and it is classified as incomplete information game.
Since Werewolf has unknown information, it is one of good strategy to judge unknown information based on the prediction. Information that player can know is limited, and fake may be mixed in it. In this paper, it is aimed to predict under uncertain information by learning the tendency of players from limited information in Werewolf. In order to consider the time series of Werewolf, LSTM was used. In addition, Werewolf was analyzed using prediction model made by learning.