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A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton
SIMPLE SUMMARY: We present a program that simulates the coevolution of digital organisms competing for limited resources. The rules of competition and collaboration implicit in the code have been inspired by the underlying mechanisms that generate natural selection. The simplest, most general, and l...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614957/ https://www.ncbi.nlm.nih.gov/pubmed/34827140 http://dx.doi.org/10.3390/biology10111147 |
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author | Falgueras-Cano, Javier Falgueras-Cano, Juan-Antonio Moya, Andrés |
author_facet | Falgueras-Cano, Javier Falgueras-Cano, Juan-Antonio Moya, Andrés |
author_sort | Falgueras-Cano, Javier |
collection | PubMed |
description | SIMPLE SUMMARY: We present a program that simulates the coevolution of digital organisms competing for limited resources. The rules of competition and collaboration implicit in the code have been inspired by the underlying mechanisms that generate natural selection. The simplest, most general, and least controversial rules presented in natural systems have been chosen, and these rules have been implemented in the most flexible and adaptable way found. Our model is capable of (i) measuring the evolutionarily stable equilibrium or the unstable imbalance of biological interactions, (ii) weighing biological competition and cooperation relationships to evaluate their relative incidence in the coevolution of species, (iii) verifying widely contrasted evolutionary theories with this instrument, and (iv) shedding light on the evolutionary effects of other mechanisms, such as the spatial distribution of populations, that have not been studied in depth before. ABSTRACT: This paper presents an Evolutionary Cellular Automaton (ECA) that simulates the evolutionary dynamics of biological interactions by manipulating strategies of dispersion and associations between digital organisms. The parameterization of the different types of interaction and distribution strategies using configuration files generates easily interpretable results. In that respect, ECA is an effective instrument for measuring the effects of relative adaptive advantages and a good resource for studying natural selection. Although ECA works effectively in obtaining the expected results from most well-known biological interactions, some unexpected effects were observed. For example, organisms uniformly distributed in fragmented habitats do not favor eusociality, and mutualism evolved from parasitism simply by varying phenotypic flexibility. Finally, we have verified that natural selection represents a cost for the emergence of sex by destabilizing the stable evolutionary strategy of the 1:1 sex ratio after generating randomly different distributions in each generation. |
format | Online Article Text |
id | pubmed-8614957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86149572021-11-26 A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton Falgueras-Cano, Javier Falgueras-Cano, Juan-Antonio Moya, Andrés Biology (Basel) Article SIMPLE SUMMARY: We present a program that simulates the coevolution of digital organisms competing for limited resources. The rules of competition and collaboration implicit in the code have been inspired by the underlying mechanisms that generate natural selection. The simplest, most general, and least controversial rules presented in natural systems have been chosen, and these rules have been implemented in the most flexible and adaptable way found. Our model is capable of (i) measuring the evolutionarily stable equilibrium or the unstable imbalance of biological interactions, (ii) weighing biological competition and cooperation relationships to evaluate their relative incidence in the coevolution of species, (iii) verifying widely contrasted evolutionary theories with this instrument, and (iv) shedding light on the evolutionary effects of other mechanisms, such as the spatial distribution of populations, that have not been studied in depth before. ABSTRACT: This paper presents an Evolutionary Cellular Automaton (ECA) that simulates the evolutionary dynamics of biological interactions by manipulating strategies of dispersion and associations between digital organisms. The parameterization of the different types of interaction and distribution strategies using configuration files generates easily interpretable results. In that respect, ECA is an effective instrument for measuring the effects of relative adaptive advantages and a good resource for studying natural selection. Although ECA works effectively in obtaining the expected results from most well-known biological interactions, some unexpected effects were observed. For example, organisms uniformly distributed in fragmented habitats do not favor eusociality, and mutualism evolved from parasitism simply by varying phenotypic flexibility. Finally, we have verified that natural selection represents a cost for the emergence of sex by destabilizing the stable evolutionary strategy of the 1:1 sex ratio after generating randomly different distributions in each generation. MDPI 2021-11-07 /pmc/articles/PMC8614957/ /pubmed/34827140 http://dx.doi.org/10.3390/biology10111147 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Falgueras-Cano, Javier Falgueras-Cano, Juan-Antonio Moya, Andrés A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton |
title | A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton |
title_full | A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton |
title_fullStr | A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton |
title_full_unstemmed | A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton |
title_short | A Study of the Coevolution of Digital Organisms with an Evolutionary Cellular Automaton |
title_sort | study of the coevolution of digital organisms with an evolutionary cellular automaton |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614957/ https://www.ncbi.nlm.nih.gov/pubmed/34827140 http://dx.doi.org/10.3390/biology10111147 |
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