dc.contributor.author | Salge, Christoph | |
dc.contributor.author | Ay, Nihat | |
dc.contributor.author | Polani, Daniel | |
dc.contributor.author | Prokopenko, Mikhail | |
dc.date.accessioned | 2016-03-16T10:15:43Z | |
dc.date.available | 2016-03-16T10:15:43Z | |
dc.date.issued | 2015-10-01 | |
dc.identifier.citation | Salge , 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.other | ORCID: /0000-0002-3233-5847/work/86098052 | |
dc.identifier.uri | http://hdl.handle.net/2299/16814 | |
dc.description | Copyright: © 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.abstract | We 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.format.extent | 297383 | |
dc.language.iso | eng | |
dc.relation.ispartof | PLoS ONE | |
dc.subject | General Agricultural and Biological Sciences | |
dc.subject | General Biochemistry,Genetics and Molecular Biology | |
dc.subject | General Medicine | |
dc.title | Zipf's Law : Balancing signal usage cost and communication efficiency | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1371/journal.pone.0139475 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |