  The Resistance: Avalon is a partially observable social deduction game. This
area of AI game playing is fairly undeveloped. Implementing an AI for this game
involves multiple components specific to each phase as well as role in the
game. In this paper, we plan to iteratively develop the required components for
each role/phase by first addressing the Assassination phase which can be
modeled as a machine learning problem. Using a publicly available dataset from
an online version of the game, we train classifiers that emulate an Assassin.
After trying various classification techniques, we are able to achieve above
average human performance using a simple linear support vector classifier. The
eventual goal of this project is to pursue developing an intelligent and
complete Avalon player that can play through each phase of the game as any
role.
