DOI: 10.5176/2251-1679_CGAT18.115

Authors: Mo Sun, Roger Y. Lee, Takaaki Goto

Abstract:

Many previous studies have already used several algorithms to build a Gobang game and a Connect 6 (a type of free-style Gobang) and analyze the fairness of a game, but there is no research showing how game rules influence the fairness of a free-style Gobang game (by changing the game rules from traditional Gobang game). Since we are interested in games’ potential of diversification and how a multi-player game can have more fairness in a game such as chess, we research on fairness of free-style Gobang games. One of our goals is to find which rule effects the fairness of a Gobang game. Another objective of our study is to prove whether a computer player influences the fairness of a multi-player Gobang game by analyzing and comparing the results of both human-human games and human-computer games. Our research results let us know how changing the rules of freestyle Gobang games influence the game fairness. The result is that our proposed free-style gobang games are fairer than traditional gobang games. Also, a computer player influences the fairness of Gobang games.

Keywords: component; Gobang, alpha-beta search algorithm, Game Fairness

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