University of Hertfordshire

By the same authors

Automatic Generation of Level Maps with the Do What’s Possible Representation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

View graph of relations
Original languageEnglish
Title of host publication2019 IEEE Conference on Games (CoG)
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Print)978-1-7281-1885-7
DOIs
Publication statusPublished - 23 Aug 2019
Event2019 IEEE Conference on Games (CoG) - London, UK
Duration: 20 Aug 201923 Aug 2019

Conference

Conference2019 IEEE Conference on Games (CoG)
Period20/08/1923/08/19

Abstract

Automatic generation of level maps is a popular form of automatic content generation. In this study, a recently developed technique employing the 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.

ID: 27327715