Artificial Intelligence for the Bang! Game

Bachelor thesis English RESTRICTED
Daniláková, Monika (2017)
  • Subject: board card game; umělá inteligence; desková karetní hra; hra více hráčů; multi-player game; artificial intelligence
    acm: ComputingMethodologies_PATTERNRECOGNITION | GeneralLiterature_MISCELLANEOUS

This work explores artificial intelligence (AI) algorithms for the game Bang!, a Wild West-themed card game created by Italian game designer Emiliano Sciarra. The aim of this work was to design three different AIs for this game and to compare them theoretically and experimentally. First, we analyzed game Bang! with regards to game theory, and researched some of the AI algorithms used in similar games. We then designed three different AIs algorithms and compared their advantages and disadvantages. These three AIs included an AI based on the Monte Carlo Tree Search algorithm, a genetic AI and a hybrid AI using elements of both previous AIs. We also implemented the game itself and the AIs in C#. The implementation makes it easy to add more AIs or client applications in the future, and also to compare and train the AIs. Finally, we experimentally compared the implemented AIs. The genetic AI performed the best, while Monte Carlo Tree Search AI and the hybrid AI were less suitable for this game. Powered by TCPDF (www.tcpdf.org)
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