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The Minimal Complexity of Adapting Agents Increases with Fitness

What is the relationship between the complexity and the fitness of evolved organisms, whether natural or artificial? It has been asserted, primarily based on empirical data, that the complexity of plants and animals increases as their fitness within a particular environment increases via evolution b...

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Detalles Bibliográficos
Autores principales: Joshi, Nikhil J., Tononi, Giulio, Koch, Christof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708884/
https://www.ncbi.nlm.nih.gov/pubmed/23874168
http://dx.doi.org/10.1371/journal.pcbi.1003111
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author Joshi, Nikhil J.
Tononi, Giulio
Koch, Christof
author_facet Joshi, Nikhil J.
Tononi, Giulio
Koch, Christof
author_sort Joshi, Nikhil J.
collection PubMed
description What is the relationship between the complexity and the fitness of evolved organisms, whether natural or artificial? It has been asserted, primarily based on empirical data, that the complexity of plants and animals increases as their fitness within a particular environment increases via evolution by natural selection. We simulate the evolution of the brains of simple organisms living in a planar maze that they have to traverse as rapidly as possible. Their connectome evolves over 10,000s of generations. We evaluate their circuit complexity, using four information-theoretical measures, including one that emphasizes the extent to which any network is an irreducible entity. We find that their minimal complexity increases with their fitness.
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spelling pubmed-37088842013-07-19 The Minimal Complexity of Adapting Agents Increases with Fitness Joshi, Nikhil J. Tononi, Giulio Koch, Christof PLoS Comput Biol Research Article What is the relationship between the complexity and the fitness of evolved organisms, whether natural or artificial? It has been asserted, primarily based on empirical data, that the complexity of plants and animals increases as their fitness within a particular environment increases via evolution by natural selection. We simulate the evolution of the brains of simple organisms living in a planar maze that they have to traverse as rapidly as possible. Their connectome evolves over 10,000s of generations. We evaluate their circuit complexity, using four information-theoretical measures, including one that emphasizes the extent to which any network is an irreducible entity. We find that their minimal complexity increases with their fitness. Public Library of Science 2013-07-11 /pmc/articles/PMC3708884/ /pubmed/23874168 http://dx.doi.org/10.1371/journal.pcbi.1003111 Text en © 2013 Joshi et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Joshi, Nikhil J.
Tononi, Giulio
Koch, Christof
The Minimal Complexity of Adapting Agents Increases with Fitness
title The Minimal Complexity of Adapting Agents Increases with Fitness
title_full The Minimal Complexity of Adapting Agents Increases with Fitness
title_fullStr The Minimal Complexity of Adapting Agents Increases with Fitness
title_full_unstemmed The Minimal Complexity of Adapting Agents Increases with Fitness
title_short The Minimal Complexity of Adapting Agents Increases with Fitness
title_sort minimal complexity of adapting agents increases with fitness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708884/
https://www.ncbi.nlm.nih.gov/pubmed/23874168
http://dx.doi.org/10.1371/journal.pcbi.1003111
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