This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
ApartSprints
Multi-agent
Accepted at the 
Multi-agent
 research sprint on 
October 1, 2023

The artificial wolves of Millers Hollow

In this research, the behavior of GPT-3.5 and GPT-4 Language Model (LM) agents was explored within the game context of the Werewolves of Millers Hollow. By analyzing games with a minimal setup of 2 werewolves and 3 villagers, the study aimed to understand the agents' collaborative and deceptive capabilities. Results showed that GPT-3.5 werewolves performed significantly above random, indicating coordinated voting strategies and persuasion. Preliminary observations with GPT-4 revealed even more complex strategies, though a comprehensive review was constrained by time and budget. The study suggests that this game can be a valuable environment for further assessing LM agent behavior in intricate social simulations.

By 
Dana Léo, Feuillade-Montixi Quentin, Tavernier Florent
🏆 
4th place
3rd place
2nd place
1st place
 by peer review
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