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EVO-CBG - an evolutionary system for automatically generating character behaviours for game environments

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Show simple item record Patten, James Vincent Ryan, Conor 2019-02-14T14:30:13Z 2019-02-14T14:30:13Z 2012
dc.description peer-reviewed en_US
dc.description.abstract In this paper we discuss the need to extend the standard types of character behaviours found in game environments if we are to create new and more compelling gaming experiences. We propose using techniques from Evolutionary Algorithms and research from Game Design to create a system that can help game designers extend standard types of behaviours. This system automatically produces behaviours that are designed to optimize predefined parameters in the game environment. We outline experiments conducted using an implementation of this system to produce behaviours for the game Ms. Pac-Man, along with providing an overview of the results obtained. Finally we discuss these results and the potential they show for our system to help game designers not only create character behaviours, but also diagnose the effect that adding or removing certain mechanics will have on the overall gaming experience. en_US
dc.language.iso eng en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, Lee G., Howard D., Kang J.J., Ślęzak D. (eds);vol 7425
dc.rights The original publication is available at en_US
dc.subject genetic programming en_US
dc.subject game design en_US
dc.subject game environment en_US
dc.subject gaming experience en_US
dc.subject genetic programming system en_US
dc.title EVO-CBG - an evolutionary system for automatically generating character behaviours for game environments en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1007%2F978-3-642-32645-5_27
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1415484

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