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- W4286740845 abstract "Automatic generation of level maps is a popular form of automatic content generation. In this study, a recently developed technique employing the {em do what's possible} representation is used to create open-ended level maps. Generation of the map can continue indefinitely, yielding a highly scalable representation. A parameter study is performed to find good parameters for the evolutionary algorithm used to locate high-quality map generators. Variations on the technique are presented, demonstrating its versatility, and an algorithmic variant is given that both improves performance and changes the character of maps located. The ability of the map to adapt to different regions where the map is permitted to occupy space are also tested." @default.
- W4286740845 created "2022-07-23" @default.
- W4286740845 creator A5080870632 @default.
- W4286740845 creator A5086237842 @default.
- W4286740845 date "2019-05-23" @default.
- W4286740845 modified "2023-09-30" @default.
- W4286740845 title "Automatic Generation of Level Maps with the Do What's Possible Representation" @default.
- W4286740845 doi "https://doi.org/10.48550/arxiv.1905.09618" @default.
- W4286740845 hasPublicationYear "2019" @default.
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