ECA, a Python tool to study the evolution of life

We present a computer program called Evolutionary Cellular Automaton (ECA) in Python, which simulates in silico, in the simplest form found, all the known processes and mechanisms underlying natural selection. Mathematical and statistical functions condition the dynamics of real populations, through...

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Detalhes bibliográficos
Autores: Falgueras-Cano, J, Falgueras-Cano, JA, Moya, A
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repositorio:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p17139
Acesso em linha:https://fisabio.portalinvestigacion.com/publicaciones/17139
Access Level:acceso abierto
Palavra-chave:Cellular automata
Evolutionary algorithm
In silico simulation
Natural selection
Fitness
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spelling ECA, a Python tool to study the evolution of lifeFalgueras-Cano, JFalgueras-Cano, JAMoya, ACellular automataEvolutionary algorithmIn silico simulationNatural selectionFitnessWe present a computer program called Evolutionary Cellular Automaton (ECA) in Python, which simulates in silico, in the simplest form found, all the known processes and mechanisms underlying natural selection. Mathematical and statistical functions condition the dynamics of real populations, through variables that in each habitat and in each organism acquire a specific parameter. In ECA, we have simplified these variables by working with mean and standard values and by simplifying the interactions between species in such a way that the mechanisms underlying natural selection also work in ECA, but in a digital environment under controlled and reproducible conditions.ELSEVIER2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fisabio.portalinvestigacion.com/publicaciones/17139Software ImpactsISSN: 26659638reponame:r-FISABIO. Repositorio Institucional de Producción Científicainstname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)Inglésinfo:eu-repo/semantics/openAccessoai:fisabio.fundanetsuite.com:p171392026-06-11T12:45:17Z
dc.title.none.fl_str_mv ECA, a Python tool to study the evolution of life
title ECA, a Python tool to study the evolution of life
spellingShingle ECA, a Python tool to study the evolution of life
Falgueras-Cano, J
Cellular automata
Evolutionary algorithm
In silico simulation
Natural selection
Fitness
title_short ECA, a Python tool to study the evolution of life
title_full ECA, a Python tool to study the evolution of life
title_fullStr ECA, a Python tool to study the evolution of life
title_full_unstemmed ECA, a Python tool to study the evolution of life
title_sort ECA, a Python tool to study the evolution of life
dc.creator.none.fl_str_mv Falgueras-Cano, J
Falgueras-Cano, JA
Moya, A
author Falgueras-Cano, J
author_facet Falgueras-Cano, J
Falgueras-Cano, JA
Moya, A
author_role author
author2 Falgueras-Cano, JA
Moya, A
author2_role author
author
dc.subject.none.fl_str_mv Cellular automata
Evolutionary algorithm
In silico simulation
Natural selection
Fitness
topic Cellular automata
Evolutionary algorithm
In silico simulation
Natural selection
Fitness
description We present a computer program called Evolutionary Cellular Automaton (ECA) in Python, which simulates in silico, in the simplest form found, all the known processes and mechanisms underlying natural selection. Mathematical and statistical functions condition the dynamics of real populations, through variables that in each habitat and in each organism acquire a specific parameter. In ECA, we have simplified these variables by working with mean and standard values and by simplifying the interactions between species in such a way that the mechanisms underlying natural selection also work in ECA, but in a digital environment under controlled and reproducible conditions.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fisabio.portalinvestigacion.com/publicaciones/17139
url https://fisabio.portalinvestigacion.com/publicaciones/17139
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER
publisher.none.fl_str_mv ELSEVIER
dc.source.none.fl_str_mv Software Impacts
ISSN: 26659638
reponame:r-FISABIO. Repositorio Institucional de Producción Científica
instname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
instname_str Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
reponame_str r-FISABIO. Repositorio Institucional de Producción Científica
collection r-FISABIO. Repositorio Institucional de Producción Científica
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