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dc.contributor.authorRedfern, Sam
dc.date.accessioned2014-01-29T11:20:20Z
dc.date.available2014-01-29T11:20:20Z
dc.date.issued2010-07-30
dc.identifier.citationSam Redfern, 2010. Proceedings AICS Conference, pp.220-229 (2010) Evolving Racetrack Knowledge in a Racing Game AICSen_US
dc.identifier.urihttp://hdl.handle.net/10379/4083
dc.descriptionConference paperen_US
dc.description.abstractThis paper discusses the use of a Genetic Algorithm (GA) to evolve waypoint-based racing lines for computer-controlled cars in an online game. One goal is the reduction of developer effort, in order to automatically produce varied and effective racing lines for numerous different vehicle configurations on various racetracks. Another goal is to assess the design of fitness functions in order to evolve varying strategies and driving styles for the computer-controlled drivers. The effectiveness of this approach is assessed, and the evolved driving strategies on a number of specific racetracks are analysed.en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.publisher21st National Conference on Artificial Intelligence and Cognitive Scienceen_US
dc.relation.ispartofAICSen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectComputational intelligenceen_US
dc.subjectGenetic algorithmsen_US
dc.subjectGame A.I.en_US
dc.subjectVehicle Simulationen_US
dc.titleEvolving Racetrack Knowledge in a Racing Game.en_US
dc.typeConference Paperen_US
dc.date.updated2013-11-12T13:23:16Z
dc.local.publishedsourcehttp://aics.nuigalway.ie/en_US
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.internal.rssid1150965
dc.local.contactSam Redfern, Dept. Of Information Technology, I.T. Building, Nui Galway. 3670 Email: sam.redfern@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland