Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Weinberger, V. P., Zalaquett, N., Abades, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2024
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
_version_ 1785147317919154176
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
work_keys_str_mv AT weinbergervp howgreedyistoogreedyanetworktoymodelforevaluatingthesustainabilityofbiasedevolutionarydynamics
AT zalaquettn howgreedyistoogreedyanetworktoymodelforevaluatingthesustainabilityofbiasedevolutionarydynamics
AT abadess howgreedyistoogreedyanetworktoymodelforevaluatingthesustainabilityofbiasedevolutionarydynamics