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How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics
Modern humanity has changed the biosphere at a global scale, threatening its own sustainability. It is claimed that through technology humans maximize the extraction of energy from the natural system towards their own benefit, with rates of appropriation that surpass the time-scales for systemic ada...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2024
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645075/ https://www.ncbi.nlm.nih.gov/pubmed/37952630 http://dx.doi.org/10.1098/rstb.2022.0260 |
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author | Weinberger, V. P. Zalaquett, N. Abades, S. |
author_facet | Weinberger, V. P. Zalaquett, N. Abades, S. |
author_sort | Weinberger, V. P. |
collection | PubMed |
description | Modern humanity has changed the biosphere at a global scale, threatening its own sustainability. It is claimed that through technology humans maximize the extraction of energy from the natural system towards their own benefit, with rates of appropriation that surpass the time-scales for systemic adaptation. This time-decoupled coevolutionary dynamic is at the core of human societal unsustainability. Here, we developed in silico experiments of an open energy-based flowing network toy model of natural systems and study the effects that greedy evolutionary strategies, resembling human societal demands, have upon the performance and scarcity tolerance of the system. We aim to determine the flexibility that those biased evolutionary dynamics have for matching or surpassing natural evolution outcomes. We studied four different indexes of system’s growth and development (total system throughflow (TST), average mutual information, ascendency and entropy difference) and compare their scarcity tolerance and performance outcomes with respect to four different greedy scenarios. The results showed that greedy strategies rarely surpassed the tolerance and performance achieved by natural systemic evolution. The nature of the greedy scenarios developed were closely related to increases in TST and therefore, we emphasized this comparison. Here, the maximum percentage of greedy networks capable of surpassing natural dynamics was around one-third (approx. [Formula: see text]). However, results suggest the existence of a space parameter where local increases of energy flow can outperform the outcomes of natural systemic evolution, but no evident network property seems to characterize those greedy networks. A mild inverse relationship was found between the number of links that greedy nodes have towards the output and their capacity to outpass the control evolution. As many of the human societal effect upon biospheric processes have dissipative byproducts, knowing that such dynamics might diminish the systems tolerance and performance suggest care in their (ab)use. This article is part of the theme issue ‘Evolution and sustainability: gathering the strands for an Anthropocene synthesis’. |
format | Online Article Text |
id | pubmed-10645075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2024 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106450752023-11-14 How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics Weinberger, V. P. Zalaquett, N. Abades, S. Philos Trans R Soc Lond B Biol Sci Part I: Past - How Did the Anthropocene Evolve? Modern humanity has changed the biosphere at a global scale, threatening its own sustainability. It is claimed that through technology humans maximize the extraction of energy from the natural system towards their own benefit, with rates of appropriation that surpass the time-scales for systemic adaptation. This time-decoupled coevolutionary dynamic is at the core of human societal unsustainability. Here, we developed in silico experiments of an open energy-based flowing network toy model of natural systems and study the effects that greedy evolutionary strategies, resembling human societal demands, have upon the performance and scarcity tolerance of the system. We aim to determine the flexibility that those biased evolutionary dynamics have for matching or surpassing natural evolution outcomes. We studied four different indexes of system’s growth and development (total system throughflow (TST), average mutual information, ascendency and entropy difference) and compare their scarcity tolerance and performance outcomes with respect to four different greedy scenarios. The results showed that greedy strategies rarely surpassed the tolerance and performance achieved by natural systemic evolution. The nature of the greedy scenarios developed were closely related to increases in TST and therefore, we emphasized this comparison. Here, the maximum percentage of greedy networks capable of surpassing natural dynamics was around one-third (approx. [Formula: see text]). However, results suggest the existence of a space parameter where local increases of energy flow can outperform the outcomes of natural systemic evolution, but no evident network property seems to characterize those greedy networks. A mild inverse relationship was found between the number of links that greedy nodes have towards the output and their capacity to outpass the control evolution. As many of the human societal effect upon biospheric processes have dissipative byproducts, knowing that such dynamics might diminish the systems tolerance and performance suggest care in their (ab)use. This article is part of the theme issue ‘Evolution and sustainability: gathering the strands for an Anthropocene synthesis’. The Royal Society 2024-01-01 2023-11-13 /pmc/articles/PMC10645075/ /pubmed/37952630 http://dx.doi.org/10.1098/rstb.2022.0260 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Part I: Past - How Did the Anthropocene Evolve? Weinberger, V. P. Zalaquett, N. Abades, S. How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics |
title | How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics |
title_full | How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics |
title_fullStr | How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics |
title_full_unstemmed | How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics |
title_short | How greedy is too greedy? A network toy model for evaluating the sustainability of biased evolutionary dynamics |
title_sort | how greedy is too greedy? a network toy model for evaluating the sustainability of biased evolutionary dynamics |
topic | Part I: Past - How Did the Anthropocene Evolve? |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645075/ https://www.ncbi.nlm.nih.gov/pubmed/37952630 http://dx.doi.org/10.1098/rstb.2022.0260 |
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