Abstract

This study analyzed players' decision-making process in Werewolf and the success factors of persuasion in a 5-player Werewolf. In Experiment 1, we focused on the villager player and analyzed the process of deciding who to vote for based on what other players say. We proposed a decision-making model in which logical and economic rationality are prioritized, and when they still cannot decide, “empathy” becomes the deciding factor. Experiment 2 focused on persuasion situations and examined how successful persuasion is. The results confirmed that persuasion using logical persuasion materials is successful. This supported the model's validity in Experiment 1 that logical rationality is the overriding criterion for decision-making. However, we could not observe the success factors when both persuaders had logical material. Future research will investigate the aspects of successful persuasion more deeply through complex persuasion situations and games with more proficient players.

Keywords: Werewolf Game; Decision-making; Persuasion; Logical Rationality

References

1. Artificial Intelligence based Werewolf. https://aiwolf.org/en/
2. Fujii S., et al. “An Analysis of Decision-Making Processes under CVM: A Cognitive-Psychological Test of NOAA's Guidelines”. Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 19 (2002): 91-98. In Japanese
3. Crano WD and Prislin R. “Attitude and persuasion”. Annual Review of Psychology 57.1 (2006): 345-374.
4. Zaitsu T and Katagami D. “Persuasion and effects to human players by the AI-based werewolf game player agent”. The 36th Annual Conference of the Japanese Society for Artificial Intelligence 4I3-OS-26b-03 (2022): 1-4. in Japanese
5. Sugimoto M and Ito T. “How do villagers make decision in the game of 5-players' werewolf?”. The 34th Annual Meeting of Japanese Cognitive Science Society P1-26F (2017): 826-832. in Japanese

Citation

Asuka Nakai., et al. “Persuasion Process from the Perspective of Decision-Making Model in Werewolf Games". Clareus Scientific Science and Engineering 2.6 (2025): 05-13.

Copyright

© 2025 Asuka Nakai., et al. Licensee Clareus Scientific Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.