游戏建模的随机过程方法

IF 2.4 2区 文学 Q1 COMMUNICATION
Kandukuri Kumaraswamy
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引用次数: 0

摘要

文章详细介绍了如何利用随机过程模型分析游戏进程,并举例说明了这一过程。文章利用游戏的概念研究了这一问题;建立了随机模型,并利用获得的结果估算了过渡矩阵概率。因此,输赢可以用来表示状态。通过所提供的模型,可以识别和研究系统状态集合之间的相互作用。为了对事件进行建模并计算状态之间的转换概率,我们采用了马尔可夫链和隐马尔可夫模型。所建议的框架能够预测未来状态,并对流动的游戏阶段进行区分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic Process Approaches for Modeling of Games
The article detailed how stochastic process models are used to analyze game progression and included examples to illustrate the process. The issue was examined using the idea of a game; stochastic models were built, and transition matrix probabilities were estimated using the results obtained. As a result, win and loss can be used to indicate the states. The models that have been provided make it possible to identify and examine the interactions among the collection of system states. For the purpose of modeling events and computing transition probabilities between states, Markov chains and Hidden Markov Models are employed. The suggested frameworks enable the prediction of future states and allow for the differentiation of game phases of flow.
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来源期刊
Games and Culture
Games and Culture Multiple-
CiteScore
7.20
自引率
7.10%
发文量
54
期刊介绍: Games and Culture publishes innovative theoretical and empirical research about games and culture within the context of interactive media. The journal serves as a premiere outlet for groundbreaking and germinal work in the field of game studies. The journal"s scope includes the sociocultural, political, and economic dimensions of gaming from a wide variety of perspectives, including textual analysis, political economy, cultural studies, ethnography, critical race studies, gender studies, media studies, public policy, international relations, and communication studies.
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