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dc.contributor.authorShaker, Noor-
dc.contributor.authorYannakakis, Georgios N.-
dc.contributor.authorTogelius, Julian-
dc.date.accessioned2017-10-24T10:15:07Z-
dc.date.available2017-10-24T10:15:07Z-
dc.date.issued2010-
dc.identifier.citationShaker, N., Yannakakis, G. N., & Togelius, J. (2010). Towards automatic personalized content generation for platform games. Sixth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford. 63-68.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/22970-
dc.description.abstractIn this paper, we show that personalized levels can be automatically generated for platform games. We build on previous work, where models were derived that predicted player experience based on features of level design and on playing styles. These models are constructed using preference learning, based on questionnaires administered to players after playing different levels. The contributions of the current paper are (1) more accurate models based on a much larger data set; (2) a mechanism for adapting level design parameters to given players and playing style; (3) evaluation of this adaptation mechanism using both algorithmic and human players. The results indicate that the adaptation mechanism effectively optimizes level design parameters for particular players.en_GB
dc.language.isoenen_GB
dc.publisherACM Publicationsen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectComputer games -- Design and constructionen_GB
dc.subjectLevel design (Computer science)en_GB
dc.titleTowards automatic personalized content generation for platform gamesen_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.conferencenameSixth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainmenten_GB
dc.bibliographicCitation.conferenceplaceStanford, United States, 11-13/10/2010en_GB
dc.description.reviewedpeer-revieweden_GB
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