University of Twente Student Theses


GameEvolver: A tool to potentially automatically improve board games

Chen, Y. (2022) GameEvolver: A tool to potentially automatically improve board games.

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Abstract:Board games as an entertainment tool have been enjoyed by humans for thousands of years, recently, with the development of computer science and artificial intelligence (Ai), computers are capable of outracing human players in certain board games. Their power in computing and memorizing even makes the professional Go player Ke Jie [19], who used to match with AlphaGo, state that it becomes boring and frustrating to play against Ai, it feels like they are just better in everything in Go games. I wondered, board games are supposed to bring joy and fun to the players, now Ai is breaking the balance of the game by utilizing their superpower of calculating during some board game. Making the optimal decision is important in both playing and designing board games, if computers are able to defeat human players by choosing the optimal solution, are they also capable of making optimal design decisions and ultimately generating or evolving a human-enjoyable board game? we will explore the possibility of automatically generating a board game, by building a random board game generation algorithm, The GameEvolver. The resulted game of GameEvolver will be tested with human players to investigate whether they enjoy it.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general, 54 computer science
Programme:Creative Technology BSc (50447)
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