'Friend or foe' and decision making initiative in complex conflict environments

被引:1
|
作者
Zuparic, Mathew [1 ]
Shelyag, Sergiy [2 ]
Angelova, Maia [2 ]
Zhu, Ye [2 ]
Kalloniatis, Alexander [1 ]
机构
[1] Def Sci & Technol Grp, Canberra, ACT, Australia
[2] Deakin Univ, Sch IT, Melbourne, Vic, Australia
来源
PLOS ONE | 2023年 / 18卷 / 02期
关键词
LANCHESTERS LAWS; MIXED FORCES; TUMOR-GROWTH; MODELS; SYNCHRONIZATION; DYNAMICS; KURAMOTO; NETWORK; OSCILLATORS; OPINION;
D O I
10.1371/journal.pone.0281169
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:27
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