An Inclusive Taxonomy of Player Modeling
An Inclusive Taxonomy of Player Modeling
复制标题
球员建模的包容性分类法
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Anne Sullivan
中科院分区：
文献类型：
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作者：
Adam M. Smith;Chris Lewis;Kenneth Hullett;Gillian Smith;Anne Sullivan
“玩家建模”是一个松散的概念。它同样适用于从机器学习产生的玩家动作的预测模型到设计师对玩家对某些游戏内容的预期反应的描述。由于缺乏精确的术语，从业者无法快速找到适用建模方法的介绍或确定自己技术的可行替代方案。我们引入了一个词汇表，区分现有的主要球员建模应用程序和技术。四个独立的方面定义了模型的类型：应用范围，使用目的，建模细节的领域，以及模型的派生或动机的来源。该词汇表允许识别特定问题的相关玩家建模方法，并阐明玩家模型可以扮演的角色。它旨在成为一个通用词汇表，适用于所有游戏类型和研究方法。
“Player modeling” is a loose concept. It can equally apply to everything from a predictive model of player actions resulting from machine learning to a designer’s description of a player’s expected reactions in response to some piece of game content. This lack of a precise terminology prevents practitioners from quickly finding introductions to applicable modeling methods or determining viable alternatives to their own techniques. We introduce a vocabulary that distinguishes between the major existing player modeling applications and techniques. Four independent facets define the kind for a model: the scope of application, the purpose of use, the domain of modeled details, and the source of a model’s derivation or motivation. This vocabulary allows the identification of relevant player modeling methods for particular problems and clarifies the roles that a player model can take. It is intended to be a general vocabulary, applicable to all game genres and research approaches.