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dc.contributor.authorHo, W.C.
dc.contributor.authorAvila-Garcia, O.
dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2007-09-28T09:05:50Z
dc.date.available2007-09-28T09:05:50Z
dc.date.issued2005
dc.identifier.citationHo , W C , Avila-Garcia , O & Nehaniv , C L 2005 , Assessing the performance of different behavior selection architectures in a large and complex virtual environment . in In: Proceedings of the IEEE Congress on Evolutionary Computation - Special Session: Complex Adaptive Systems 1 . Institute of Electrical and Electronics Engineers (IEEE) , pp. 359-365 . https://doi.org/10.1109/CEC.2005.1554706
dc.identifier.otherPURE: 90911
dc.identifier.otherPURE UUID: 878a8efe-b73b-4218-bd2a-75f32f04f679
dc.identifier.otherdspace: 2299/757
dc.identifier.otherScopus: 27144509715
dc.identifier.urihttp://hdl.handle.net/2299/757
dc.descriptionThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. --Original article can be found at: http://ieeexplore.ieee.org/xpl/RecentCon.jsppunumber=10417 DOI : 10.1109/CEC.2005.1554706
dc.description.abstractWe compare the performance of autonomous agents with three different behavior selection architectures (Static-Threshold, Winner-Takes-All and Voting- Based) in terms of survival in a large and complex dynamic virtual environment. Experiment results indicate both advantages and disadvantages when applying each architecture in such environmental conditions, and also shows that the performance of Voting-Based architecture is significantly sensitive to the balance of rates at which various environmental resources can serve to satisfy an agent's physiological needs. Some problems with behavior selection architectures are identified and possible solutions are proposed.en
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIn: Proceedings of the IEEE Congress on Evolutionary Computation - Special Session: Complex Adaptive Systems 1
dc.titleAssessing the performance of different behavior selection architectures in a large and complex virtual environmenten
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.versionofrecordhttps://doi.org/10.1109/CEC.2005.1554706
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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