Effect of meta-inference using utterance patterns in role estimation of AIWolf

Abstract

It is called meta-inference that player infers based on information that cannot be known only in werewolf game. For example, inference using the player's skill of werewolf game is called "person meta inference". In AIWolf competition held by AIWolf project, one set consists of 100 werewolf games with fixed members, so it is possible for agents to make meta-inference within the set. Therefore, in recent years, many of the top winning team of the competiton adopt meta-inference. In this paper, utterance pattern feature is introduced in order to estimate the meta information of the agent's team. The effectiveness of this feature is shown by the significant improvement in accuracy of the DNN which has this feature as input. It is also reported that the agent which uses this feature achieved good results in latest international AIWolf competition.