Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/82014
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCharity, Megan-
dc.contributor.authorCerny Green, Michael-
dc.contributor.authorKhalifa, Ahmed-
dc.contributor.authorTogelius, Julian-
dc.date.accessioned2021-10-12T08:28:23Z-
dc.date.available2021-10-12T08:28:23Z-
dc.date.issued2020-
dc.identifier.citationCharity, M., Cerny Green, M., Khalifa, A., & Togelius, J. (2020). Mech-Elites : illuminating the mechanic space of GVG-AI. FDG '20: International Conference on the Foundations of Digital Games, Bugibba.en_GB
dc.identifier.isbn9781450388078-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/82014-
dc.description.abstractThis paper introduces a fully automatic method of mechanic illumination for general video game level generation. Using the Constrained MAP-Elites algorithm and the GVG-AI framework, this system generates the simplest tile based levels that contain specific sets of game mechanics and also satisfy playability constraints. We apply this method to illuminate the mechanic space for four different games in GVG-AI: Zelda, Solarfox, Plants, and RealPortals. With this system, we can generate playable levels that contain different combinations of most of the possible mechanics. These levels can later be used to populate game tutorials that teach players how to use the mechanics of the game.en_GB
dc.language.isoenen_GB
dc.publisherAssociation for Computing Machineryen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectComputer games -- Designen_GB
dc.subjectLevel design (Computer science)en_GB
dc.subjectArtificial intelligenceen_GB
dc.subjectMachine learningen_GB
dc.titleMech-Elites : illuminating the mechanic space of GVG-AIen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameFDG '20: International Conference on the Foundations of Digital Gamesen_GB
dc.bibliographicCitation.conferenceplaceBugibba, Malta, 15-18/09/2020en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1145/3402942.3402954-
Appears in Collections:Scholarly Works - InsDG

Files in This Item:
File Description SizeFormat 
Mech-Elites_illuminating_the_mechanic_space_of_GVG-AI_2020.pdf832.46 kBAdobe PDFView/Open


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.