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dc.contributor.authorShannon, P.
dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2011-11-08T15:01:16Z
dc.date.available2011-11-08T15:01:16Z
dc.date.issued2011
dc.identifier.citationShannon , P & Nehaniv , C L 2011 , Evolving robot controllers in PDL using genetic programming . in IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life . Institute of Electrical and Electronics Engineers (IEEE) , pp. 92-99 , IEEE ALIFE 2011 , Paris , France , 11/04/11 . https://doi.org/10.1109/ALIFE.2011.5954644
dc.identifier.citationconference
dc.identifier.isbn978-1-61284-062-8
dc.identifier.urihttp://hdl.handle.net/2299/6952
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dc.description.abstractWe demonstrate how autonomous agents can be evolved whose controllers are programs in the dynamical systems-oriented, behaviour-based PDL language introduced by Luc Steels. Controllers evolved using a physics simulator solved the problem of parallel parking a car without colliding into obstacles on three sides of a parking area.en
dc.format.extent8
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life
dc.titleEvolving robot controllers in PDL using genetic programmingen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=80051635446&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1109/ALIFE.2011.5954644
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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