Player Modeling
Player Modeling
复制标题
球员建模
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
E. André
中科院分区：
文献类型：
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作者：
Georgios N. Yannakakis;P. Spronck;D. Loiacono;E. André
玩家建模是研究游戏中玩家的计算模型。这包括检测、建模、预测和表达人类玩家的特征，这些特征通过认知、行为和行为模式表现出来。本章介绍了球员建模的整体视图，并提供了一个高层次的分类和球员模型的关键组件的讨论。讨论的重点是构建玩家模型的方法分类，模型输入的可用数据类型以及模型输出的拟议分类。本章还提供了一些有前途的应用程序的简要概述，并讨论了球员建模目前面临的主要挑战，这些挑战与输入，输出和计算模型有关。
Player modeling is the study of computational models of players in games. This includes the detection, modeling, prediction and expression of human player characteristics which are manifested through cognitive, affective and behavioral patterns. This chapter introduces a holistic view of player modeling and provides a high level taxonomy and discussion of the key components of a player’s model. The discussion focuses on a taxonomy of approaches for constructing a player model, the available types of data for the model’s input and a proposed classification for the model’s output. The chapter provides also a brief overview of some promising applications and a discussion of the key challenges player modeling is currently facing which are linked to the input, the output and the computational model.