Multiple maneuver model of cooperating ground combat troops

Nohel, Jan; Stodola, Petr; Flasar, Zdeněk; Rybanský, Marian

doi:10.1177/15485129221078939

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…The "hide and seek" tactic is also considered, used in offensive actions where artillery units of the attacking side can perform several cycles of shooting and changing position [9]. Literature also discusses various models considering the rate of fire and accuracy of artillery units [10], aiming processes, errors, and the probability of hitting the target.…”

Section: Literature Reviewmentioning

confidence: 99%

Development and optimization of simulation models and methods for controlling virtual artillery units in game scenarios

Maksymova,

Boltyonkov,

Maksymov

et al. 2023

HAIT

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In the realm of modern video game development, special attention is given to the simulation of artillery systems, which play a crucial role in various military-themed games. This research presents a mathematical model for simulating the actions of a virtual artillery system. The model is designed to manage the execution of combat tasks, including targeting destruction with a specified number of shells and incorporating the strategic movement between firing positions to minimize detection and attack by enemy forces in the game. The model presumes that all shots are effective and equates the number of firing positions to the number of shots, with a minimum of one shot per position. The model's dynamics do not allow for returning to previous positions, adding a layer of complexity and realism to the gameplay. Movement simulations between positions are designed along virtual roads of varying quality, enhancing the strategic elements of the game. A method for determining the optimal strategy for the artillery system's actions has been developed, introducing the concept of the current structure of combat task execution. This problem-solving approach falls within the realm of Pareto-oriented tasks or dynamic programming challenges. The computational method of the model is based on a general algorithm, underpinned by specialized additional algorithms. Results from this model demonstrate the feasibility of completing combat tasks effectively, with a maximum of two shots per firing position. The research differentiates between defensive and offensive tactics in gameplay, suggesting that while a strategy involving ten shots per target aligns with defensive gameplay, a strategy with four shots per target aligns with offensive actions. Consequently, the "shot-and-scoot" tactic in an offensive context can be aptly termed as “hid-and-shot”.

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Section: Literature Reviewmentioning

confidence: 99%

Development and optimization of simulation models and methods for controlling virtual artillery units in game scenarios

Maksymova,

Boltyonkov,

Maksymov

et al. 2023

HAIT

View full text Add to dashboard Cite

show abstract

“…The perennial challenge in combat modeling, however, remains identifying the essential variables that would allow models of armed conflict to be manageable, meaningful and useful (Kress, 2012). As one example, a small unit combat model may require both maneuver warfare elements (Nohel et al ., 2022; Ormrod and Turnbull, 2017) and physical fitness of the personnel (Blount et al ., 2013). Different personnel would likely have different movements and different physical limitations while encountering different levels of fatigue.…”

Section: Introductionmentioning

confidence: 99%

A primer on using Monte Carlo simulations to evaluate marksmanship

Biggs,

Hamilton

2023

JDAL

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PurposeEvaluating warfighter lethality is a critical aspect of military performance. Raw metrics such as marksmanship speed and accuracy can provide some insight, yet interpreting subtle differences can be challenging. For example, is a speed difference of 300 milliseconds more important than a 10% accuracy difference on the same drill? Marksmanship evaluations must have objective methods to differentiate between critical factors while maintaining a holistic view of human performance.Design/methodology/approachMonte Carlo simulations are one method to circumvent speed/accuracy trade-offs within marksmanship evaluations. They can accommodate both speed and accuracy implications simultaneously without needing to hold one constant for the sake of the other. Moreover, Monte Carlo simulations can incorporate variability as a key element of performance. This approach thus allows analysts to determine consistency of performance expectations when projecting future outcomes.FindingsThe review divides outcomes into both theoretical overview and practical implication sections. Each aspect of the Monte Carlo simulation can be addressed separately, reviewed and then incorporated as a potential component of small arms combat modeling. This application allows for new human performance practitioners to more quickly adopt the method for different applications.Originality/valuePerformance implications are often presented as inferential statistics. By using the Monte Carlo simulations, practitioners can present outcomes in terms of lethality. This method should help convey the impact of any marksmanship evaluation to senior leadership better than current inferential statistics, such as effect size measures.

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Multiple maneuver model of cooperating ground combat troops

Cited by 2 publications

References 20 publications

Development and optimization of simulation models and methods for controlling virtual artillery units in game scenarios

Development and optimization of simulation models and methods for controlling virtual artillery units in game scenarios

A primer on using Monte Carlo simulations to evaluate marksmanship

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