关键词: 特征选择, 偏好学习, 进化神经网络, 玩家情感建模

Abstract: Player modeling is an important research area in game design field. Foreign scholars have proposed the modeling method based on statistics, but this kind of method needed to build the mathematic model subjectively, which is lack of objectivity. This paper proposed a quantitative method, which was based on the evolution neural network, to build the nonlinear model between game data and the players emotional preferences. The experimental results show that the model constructed by this method is of high efficiency and accuracy.

Key words: Feature selection, preference learning, evolution neural network, player affective modeling