Player modeling: Towards a common taxonomy
Player modeling: Towards a common taxonomy
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玩家建模：走向通用分类法
DOI：
10.1109/cgames.2011.6000359
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
L. Chaimowicz
中科院分区：
文献类型：
--
作者：
Marlos C. Machado;Eduardo P. C. Fantini;L. Chaimowicz
人工智能（AI）作为增加数字游戏沉浸感的基本特征，正逐渐受到更多的关注。在人工智能的几种方法中，玩家建模正在成为一个重要的方法。其主要思想是尝试理解和建模玩家的特征和行为，以开发更好的AI。本文介绍了该领域的调查，讨论了主要概念，并提出了一个分类法，以更好地组织他们。我们还介绍了几个游戏平台，可供玩家建模和AI研究人员使用。我们相信，汇编这些信息对该领域，特别是对新的研究人员来说是很重要的。
Artificial Intelligence (AI) is gradually receiving more attention as a fundamental feature to increase the immersion in digital games. Among the several AI approaches, Player Modeling is becoming an important one. The main idea is to try to understand and model the player characteristics and behaviors in order to develop a better AI. This paper presents a survey of the field, discussing the main concepts and proposing a taxonomy to better organize them. We also present several game platforms that can be used by player modeling and AI researchers. We believe that compiling this information can be important to the field, specially to new researchers.