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dc.contributor.authorSalge, Christoph
dc.contributor.authorAy, Nihat
dc.contributor.authorPolani, Daniel
dc.contributor.authorProkopenko, Mikhail
dc.date.accessioned2016-03-16T10:15:43Z
dc.date.available2016-03-16T10:15:43Z
dc.date.issued2015-10-01
dc.identifier.citationSalge , C , Ay , N , Polani , D & Prokopenko , M 2015 , ' Zipf's Law : Balancing signal usage cost and communication efficiency ' , PLoS ONE , vol. 10 , no. 10 , e0139475 . https://doi.org/10.1371/journal.pone.0139475
dc.identifier.otherPURE: 9978767
dc.identifier.otherPURE UUID: f84d2bf7-d62d-4f12-9fc1-e1e04a6a6b4a
dc.identifier.otherPubMed: 26427059
dc.identifier.otherScopus: 84947277949
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098052
dc.identifier.urihttp://hdl.handle.net/2299/16814
dc.descriptionCopyright: © 2015 Salge et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
dc.description.abstractWe propose a model that explains the reliable emergence of power laws (e.g., Zipf's law) during the development of different human languages. The model incorporates the principle of least effort in communications, minimizing a combination of the information-Theoretic communication inefficiency and direct signal cost. We prove a general relationship, for all optimal languages, between the signal cost distribution and the resulting distribution of signals. Zipf's law then emerges for logarithmic signal cost distributions, which is the cost distribution expected for words constructed from letters or phonemes. Copyright:en
dc.language.isoeng
dc.relation.ispartofPLoS ONE
dc.rightsOpen
dc.subjectAgricultural and Biological Sciences(all)
dc.subjectBiochemistry, Genetics and Molecular Biology(all)
dc.subjectMedicine(all)
dc.titleZipf's Law : Balancing signal usage cost and communication efficiencyen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.description.statusPeer reviewed
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2015-10-01
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1371/journal.pone.0139475
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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