A Natural Language capable agent to play a Werewolf or Mafia Game

Year:

2017

Phase:

Finished

Authors:

Mariana Vaz Pinto Loureiro

Advisors:

Abstract

Natural language processing is a complex area of computer science. During recent years natural language started to have more interference in the Games area and has been established in conjunction with speech recognition. This Master Thesis project covers the theory behind an artificial intelligent agent capable of playing the Werewolf or Mafia Game, with a more natural interaction towards human users, using natural language processing techniques and probability theory. We present our solution to create such an agent, where we take advantage of Bayesian networks, variable elimination algorithm, an embodied conversational agent and similarity measures.