Making Diplomacy Bots Individual

  • Markus KemmerlingEmail author
  • Niels Ackermann
  • Mike Preuss


Diplomacy is a round-based strategy game with simple rules but a real-time component as players move in parallel. It also emphasizes negotiation between players, which is difficult to realize in a bot but essential to achieve a human-like playing style. In a previous work, we found that in Turing Tests, players mainly use three usual shortcomings of current bot implementations to identify them as computer players, a certain level of playing strength which makes planning necessary, the avoidance of mistakes, that is moves a human most likely would not use, and a meaningful communication. According to previous results, it seems to be especially hard to combine well-playing with a human-like move style. While the communication problem has already been treated successfully at least for short games, currently known CI-based bots do not plan ahead. We present a planning Diplomacy bot which employs the negotiation kernel of an already existing bot and apply our believability measure technique in a new and interesting way. Instead of learning how to minimize the number of bad moves according to a mixture of games of several players—this had proved difficult as different players regard different moves as bad or computer-like—we go a step into the direction of mimicking human player styles by using only saved games of one person each. We thus effectively create a bot which is playing well, including planning, uses basic communication and partly inherits the playing style of a specific human player. The different obtained bots are compared according to playing strength and believability.


Planning Module Playing Strength Opponent Modeling Believability Measure Human Player 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Markus Kemmerling
    • 1
    Email author
  • Niels Ackermann
    • 2
  • Mike Preuss
    • 2
  1. 1.Robotics Research Institute, Section Information TechnologyTechnische Universität DortmundDortmundGermany
  2. 2.Chair of Algorithm Engineering, Computational Intelligence Group, Department of Computer ScienceTechnische Universität DortmundDortmundGermany

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