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Analysis of the “naming game” with learning errors in communications
Naming game simulates the process of naming an objective by a population of agents organized in a certain communication network. By pair-wise iterative interactions, the population reaches consensus asymptotically. We study naming game with communication errors during pair-wise conversations, with e...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503979/ https://www.ncbi.nlm.nih.gov/pubmed/26178457 http://dx.doi.org/10.1038/srep12191 |
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author | Lou, Yang Chen, Guanrong |
author_facet | Lou, Yang Chen, Guanrong |
author_sort | Lou, Yang |
collection | PubMed |
description | Naming game simulates the process of naming an objective by a population of agents organized in a certain communication network. By pair-wise iterative interactions, the population reaches consensus asymptotically. We study naming game with communication errors during pair-wise conversations, with error rates in a uniform probability distribution. First, a model of naming game with learning errors in communications (NGLE) is proposed. Then, a strategy for agents to prevent learning errors is suggested. To that end, three typical topologies of communication networks, namely random-graph, small-world and scale-free networks, are employed to investigate the effects of various learning errors. Simulation results on these models show that 1) learning errors slightly affect the convergence speed but distinctively increase the requirement for memory of each agent during lexicon propagation; 2) the maximum number of different words held by the population increases linearly as the error rate increases; 3) without applying any strategy to eliminate learning errors, there is a threshold of the learning errors which impairs the convergence. The new findings may help to better understand the role of learning errors in naming game as well as in human language development from a network science perspective. |
format | Online Article Text |
id | pubmed-4503979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45039792015-07-23 Analysis of the “naming game” with learning errors in communications Lou, Yang Chen, Guanrong Sci Rep Article Naming game simulates the process of naming an objective by a population of agents organized in a certain communication network. By pair-wise iterative interactions, the population reaches consensus asymptotically. We study naming game with communication errors during pair-wise conversations, with error rates in a uniform probability distribution. First, a model of naming game with learning errors in communications (NGLE) is proposed. Then, a strategy for agents to prevent learning errors is suggested. To that end, three typical topologies of communication networks, namely random-graph, small-world and scale-free networks, are employed to investigate the effects of various learning errors. Simulation results on these models show that 1) learning errors slightly affect the convergence speed but distinctively increase the requirement for memory of each agent during lexicon propagation; 2) the maximum number of different words held by the population increases linearly as the error rate increases; 3) without applying any strategy to eliminate learning errors, there is a threshold of the learning errors which impairs the convergence. The new findings may help to better understand the role of learning errors in naming game as well as in human language development from a network science perspective. Nature Publishing Group 2015-07-16 /pmc/articles/PMC4503979/ /pubmed/26178457 http://dx.doi.org/10.1038/srep12191 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lou, Yang Chen, Guanrong Analysis of the “naming game” with learning errors in communications |
title | Analysis of the “naming game” with learning errors in communications |
title_full | Analysis of the “naming game” with learning errors in communications |
title_fullStr | Analysis of the “naming game” with learning errors in communications |
title_full_unstemmed | Analysis of the “naming game” with learning errors in communications |
title_short | Analysis of the “naming game” with learning errors in communications |
title_sort | analysis of the “naming game” with learning errors in communications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503979/ https://www.ncbi.nlm.nih.gov/pubmed/26178457 http://dx.doi.org/10.1038/srep12191 |
work_keys_str_mv | AT louyang analysisofthenaminggamewithlearningerrorsincommunications AT chenguanrong analysisofthenaminggamewithlearningerrorsincommunications |