Automated Support for Battle Operational–Strategic Decision-Making

Gerardo Minguela-Castro, Ruben Heradio and Carlos Cerrada
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Gerardo Minguela-Castro: Department of Computer Systems and Software Engineering, Universidad Nacional de Educacion a Distancia (UNED), 28040 Madrid, Spain
Ruben Heradio: Department of Computer Systems and Software Engineering, Universidad Nacional de Educacion a Distancia (UNED), 28040 Madrid, Spain
Carlos Cerrada: Department of Computer Systems and Software Engineering, Universidad Nacional de Educacion a Distancia (UNED), 28040 Madrid, Spain

Mathematics, 2021, vol. 9, issue 13, 1-15

Abstract: Battle casualties are the subject of study in military operations research, which applies mathematical models to quantify the probability of victory vs. loss. In particular, different approaches have been proposed to model the course of battles. However, none of them provide adequate decision-making support for high-level command. To overcome this situation, this paper presents an innovative high-level decision-making model, which uses an adaptive and predictive control architecture. The paper reports empirical evidence supporting our model by considering one of the greatest battles of World War II: the Battle of Crete.

Keywords: decision support systems; combat models; system dynamics; battle situation; warfare information system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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