An Adaptive Predator/Prey Game

Abstract

In most of current computer games, computer-controlled opponents are often guided by a limited set of fixed strategies. The behavioral repetition of computer-controlled opponents reduces the human player’s enjoyment. Furthermore, the predefined fixed difficulty levels of a game are not satisfied by most human players. Human players prefer challenging games which keep level with them. Hence, in this study we proposed a fuzzy approach to adapting the opponents’ tactics to behavior of the player such that the player’s win/loss rate is kept at a desired rate. The value of the desired rate can be preset by the player according to the player’s preference for challenge. Our experiments are conducted on a predator/prey game. The experimental results demonstrate that adaptation efficiency and robustness of the proposed method is sufficient for the game played by human players.