An Interactive Multi-agent System for Game Design

Simple item page
aut.relation.journalThe Computer Games Journalen_NZ
aut.researcherMarks, Stefan
dc.contributor.authorKruse, Jen_NZ
dc.contributor.authorConnor, AMen_NZ
dc.contributor.authorMarks, Sen_NZ
dc.date.accessioned2021-01-12T23:28:19Z
dc.date.available2021-01-12T23:28:19Z
dc.date.copyright2021en_NZ
dc.date.issued2021en_NZ
dc.description.abstractThis paper presents a novel approach to procedural generation of game maps for multi-player, competitive video games. A multi-agent evolutionary system is employed to place streets, buildings and other items, resulting in a playable video game map. The system utilises computational agents that act in conjunction with the human designer to produce maps that exhibit desirable characteristics. This paper compares the impact that the additional agents have in terms of the quality of candidate solutions. The results indicate that the use of the agents produces higher quality solutions in comparison to a traditional interactive genetic algorithm.
dc.identifier.citationThe Computer Games Journal (2021). https://doi.org/10.1007/s40869-020-00119-z
dc.identifier.doi10.1007/s40869-020-00119-zen_NZ
dc.identifier.issn2052-773Xen_NZ
dc.identifier.urihttps://hdl.handle.net/10292/13912
dc.languageenen_NZ
dc.publisherSpringer Science and Business Media LLCen_NZ
dc.relation.urihttps://link.springer.com/article/10.1007%2Fs40869-020-00119-z
dc.rightsThis is a pre-print of an article published in The Computer Games Journal. The final authenticated version is available online at: https://doi.org/10.1007/s40869-020-00119-z
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectInteractive Genetic Algorithms; Procedural Content Generation; Game Design
dc.titleAn Interactive Multi-agent System for Game Designen_NZ
dc.typeJournal Article
pubs.elements-id396742
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF CoLab
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TCGJ_Kruse_HBGA_Preprint.pdf
Size:
788.44 KB
Format:
Adobe Portable Document Format
Description:
Journal article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
AUT Grant of Licence for Tuwhera Aug 2018.pdf
Size:
276.29 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Colab