Development of Real-World Agent System for Werewolf Game

Bohao Wang (University of Tsukuba), Hirotaka Osawa (University of Tsukuba), Takuya Toyono (University of Tsukuba), Fujio Toriumi (University of Tokyo), Daisuke Katagami (Tokyo Polytechnic University)

Abstract

The authors propose a robotic agent system for a werewolf game to serve as a human-agent interaction method for studying the social behavior of subjects in communication. We developed a robotic agent with a spherical display on the head and created a system that allows people to compete against our robotic agents. We used the AIwolf project framework for our implementation, and applied algorithms extracted from a previous game competition. 1 KEYWORDS Human-agent interaction; werewolf; robot This communication protocol is determined by referring to the AIWolf protocol [11], and is expected to cover approximately 50% of the meaning between agents. This simple protocol permits only limited utterances, such as, "I declare as seer" and "I suspect that he is a werewolf." We evaluated the Werewolf BBS logs, in which 50% of the utterances are represented through 10 protocols. The algorithm of the AIwolf agent used in this paper was designed by Team m_cre. Team m_cre won in the AIwolf competition, GAT2017.