中文版 | English
Title

Generating Game Levels of Diverse Behaviour Engagement

Author
Corresponding AuthorLiu,Jialin
DOI
Publication Years
2022
ISSN
2325-4270
EISSN
2325-4289
ISBN
978-1-6654-5990-7
Source Title
Volume
2022-August
Pages
167-174
Conference Date
21-24 Aug. 2022
Conference Place
Beijing, China
Abstract
Recent years, there has been growing interests in experience-driven procedural level generation. Various metrics have been formulated to model player experience and help generate personalised levels. In this work, we question whether experience metrics can adapt to agents with different personas. We start by reviewing existing metrics for evaluating game levels. Then, focusing on platformer games, we design a framework integrating various agents and evaluation metrics. Experimental studies on Super Mario Bros. indicate that using the same evaluation metrics but agents with different personas can generate levels for particular persona. It implies that, for simple games, using a game-playing agent of specific player archetype as a level tester is probably all we need to generate levels of diverse behaviour engagement.
Keywords
SUSTech Authorship
First ; Corresponding
Language
English
URL[Source Record]
Funding Project
National Natural Science Foundation of China[61906083];Shenzhen Fundamental Research Program[JCYJ20190809121403553];
Scopus EID
2-s2.0-85139107216
Data Source
Scopus
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9893697
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/406263
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.Research Institute of Trustworthy Autonomous System,Southern University of Science and Technology (SUSTech),Shenzhen,China
2.Southern University of Science and Technology (SUSTech),Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China
First Author AffilicationSouthern University of Science and Technology;  Department of Computer Science and Engineering
Corresponding Author AffilicationSouthern University of Science and Technology;  Department of Computer Science and Engineering
First Author's First AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Zhang,Keyuan,Bai,Jiayu,Liu,Jialin. Generating Game Levels of Diverse Behaviour Engagement[C],2022:167-174.
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