`Friend or foe’ and decision making initiative in complex conflict environments

Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu and Alexander Kalloniatis

PLOS ONE, 2023, vol. 18, issue 2, 1-27

Abstract: 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.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0281169

DOI: 10.1371/journal.pone.0281169

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