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`Friend or foe’ and decision making initiative in complex conflict environments
We present a novel mathematical model of two adversarial forces in the vicinity of a non-combatant population in order to explore the impact of each force pursuing specific decision-making strategies. Each force has the opportunity to draw support by enabling the decision-making initiative of the po...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901805/ https://www.ncbi.nlm.nih.gov/pubmed/36745613 http://dx.doi.org/10.1371/journal.pone.0281169 |
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author | Zuparic, Mathew Shelyag, Sergiy Angelova, Maia Zhu, Ye Kalloniatis, Alexander |
author_facet | Zuparic, Mathew Shelyag, Sergiy Angelova, Maia Zhu, Ye Kalloniatis, Alexander |
author_sort | Zuparic, Mathew |
collection | PubMed |
description | We present a novel mathematical model of two adversarial forces in the vicinity of a non-combatant population in order to explore the impact of each force pursuing specific decision-making strategies. Each force has the opportunity to draw support by enabling the decision-making initiative of the population, in tension with maintaining tactical and organisational effectiveness over their adversary. Each dynamic model component of force, population and decision-making, is defined by the archetypal Lanchester, Lotka-Volterra and Kuramoto-Sakaguchi models, with feedback between each component adding heterogeneity. Developing a scheme where cultural factors determine decision-making strategies for each force, this work highlights the parametric and topological factors that influence favourable results in a non-linear system where physical outcomes are highly dependent on the non-physical and cognitive nature of each force’s intended strategy. |
format | Online Article Text |
id | pubmed-9901805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99018052023-02-07 `Friend or foe’ and decision making initiative in complex conflict environments Zuparic, Mathew Shelyag, Sergiy Angelova, Maia Zhu, Ye Kalloniatis, Alexander PLoS One Research Article We present a novel mathematical model of two adversarial forces in the vicinity of a non-combatant population in order to explore the impact of each force pursuing specific decision-making strategies. Each force has the opportunity to draw support by enabling the decision-making initiative of the population, in tension with maintaining tactical and organisational effectiveness over their adversary. Each dynamic model component of force, population and decision-making, is defined by the archetypal Lanchester, Lotka-Volterra and Kuramoto-Sakaguchi models, with feedback between each component adding heterogeneity. Developing a scheme where cultural factors determine decision-making strategies for each force, this work highlights the parametric and topological factors that influence favourable results in a non-linear system where physical outcomes are highly dependent on the non-physical and cognitive nature of each force’s intended strategy. Public Library of Science 2023-02-06 /pmc/articles/PMC9901805/ /pubmed/36745613 http://dx.doi.org/10.1371/journal.pone.0281169 Text en © 2023 Zuparic et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zuparic, Mathew Shelyag, Sergiy Angelova, Maia Zhu, Ye Kalloniatis, Alexander `Friend or foe’ and decision making initiative in complex conflict environments |
title | `Friend or foe’ and decision making initiative in complex conflict environments |
title_full | `Friend or foe’ and decision making initiative in complex conflict environments |
title_fullStr | `Friend or foe’ and decision making initiative in complex conflict environments |
title_full_unstemmed | `Friend or foe’ and decision making initiative in complex conflict environments |
title_short | `Friend or foe’ and decision making initiative in complex conflict environments |
title_sort | `friend or foe’ and decision making initiative in complex conflict environments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901805/ https://www.ncbi.nlm.nih.gov/pubmed/36745613 http://dx.doi.org/10.1371/journal.pone.0281169 |
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