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Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits

We demonstrate how the need to cope with operational faults enables evolving circuits to find more fit solutions. The analysis of the results obtained in different experimental conditions indicates that, in absence of faults, evolution tends to select circuits that are small and have low phenotypic...

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Detalles Bibliográficos
Autores principales: Milano, Nicola, Nolfi, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943595/
https://www.ncbi.nlm.nih.gov/pubmed/27409589
http://dx.doi.org/10.1371/journal.pone.0158627
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author Milano, Nicola
Nolfi, Stefano
author_facet Milano, Nicola
Nolfi, Stefano
author_sort Milano, Nicola
collection PubMed
description We demonstrate how the need to cope with operational faults enables evolving circuits to find more fit solutions. The analysis of the results obtained in different experimental conditions indicates that, in absence of faults, evolution tends to select circuits that are small and have low phenotypic variability and evolvability. The need to face operation faults, instead, drives evolution toward the selection of larger circuits that are truly robust with respect to genetic variations and that have a greater level of phenotypic variability and evolvability. Overall our results indicate that the need to cope with operation faults leads to the selection of circuits that have a greater probability to generate better circuits as a result of genetic variation with respect to a control condition in which circuits are not subjected to faults.
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spelling pubmed-49435952016-08-01 Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits Milano, Nicola Nolfi, Stefano PLoS One Research Article We demonstrate how the need to cope with operational faults enables evolving circuits to find more fit solutions. The analysis of the results obtained in different experimental conditions indicates that, in absence of faults, evolution tends to select circuits that are small and have low phenotypic variability and evolvability. The need to face operation faults, instead, drives evolution toward the selection of larger circuits that are truly robust with respect to genetic variations and that have a greater level of phenotypic variability and evolvability. Overall our results indicate that the need to cope with operation faults leads to the selection of circuits that have a greater probability to generate better circuits as a result of genetic variation with respect to a control condition in which circuits are not subjected to faults. Public Library of Science 2016-07-13 /pmc/articles/PMC4943595/ /pubmed/27409589 http://dx.doi.org/10.1371/journal.pone.0158627 Text en © 2016 Milano, Nolfi http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Milano, Nicola
Nolfi, Stefano
Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits
title Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits
title_full Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits
title_fullStr Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits
title_full_unstemmed Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits
title_short Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits
title_sort robustness to faults promotes evolvability: insights from evolving digital circuits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943595/
https://www.ncbi.nlm.nih.gov/pubmed/27409589
http://dx.doi.org/10.1371/journal.pone.0158627
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