{"title":"Stochastic Process Approaches for Modeling of Games","authors":"Kandukuri Kumaraswamy","doi":"10.1177/15554120241273405","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":12634,"journal":{"name":"Games and Culture","volume":"53 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Games and Culture","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/15554120241273405","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.