A Mathematical Model of Humanitarian Aid Agencies in Attritional Conflict Environments

Author:

McLennan-Smith Timothy A.1ORCID,Kalloniatis Alexander C.2ORCID,Jovanoski Zlatko3ORCID,Sidhu Harvinder S.3ORCID,Roberts Dale O.4ORCID,Watt Simon3ORCID,Towers Isaac N.3ORCID

Affiliation:

1. School of Science, University of New South Wales, Canberra, Australian Capital Territory 2610, Australia

2. Defence Science and Technology Group, Canberra, Australian Capital Territory 2600, Australia

3. School of Science, University of New South Wales, Canberra, Australian Capital Territory 2610, Australia;

4. Australian National University, Canberra, Australian Capital Territory 2601, Australia

Abstract

Traditional combat models, such as Lanchester’s equations, are typically limited to two competing populations and exhibit solutions characterized by exponential decay—and growth if logistics are included. We enrich such models to account for modern and future complexities, particularly around the role of interagency engagement in operations as often displayed in counterinsurgency operations. To address this, we explore incorporation of nontrophic effects from ecological modeling. This provides a global representation of asymmetrical combat between two forces in the modern setting in which noncombatant populations are present. As an example, we set the noncombatant population in our model to be a neutral agency supporting the native population to the extent that they are noncombatants. Correspondingly, the opposing intervention force is under obligations to enable an environment in which the neutral agency may undertake its work. In contrast to the typical behavior seen in the classic Lanchester system, our model gives rise to limit cycles and bifurcations that we interpret through a warfighting application. Finally, through a case study, we highlight the importance of the agility of a force in achieving victory when noncombatant populations are present.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal control of strength allocation strategies generation with complex constraints;Transactions of the Institute of Measurement and Control;2024-06-19

2. `Friend or foe’ and decision making initiative in complex conflict environments;PLOS ONE;2023-02-06

3. Modelling host population support for combat adversaries;Journal of the Operational Research Society;2022-10-13

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