This work compares supervised machine learning methods using reliable data from beyond
visual range air combat constructive simulations to estimate the most effective moment for …

AsaPy is a custom-made Python library designed to simplify and optimize the analysis of
aerospace simulation data. Instead of introducing new methodologies, it excels in combining …

This work explores the use of military simulations in predicting and evaluating the outcomes
of potential scenarios. It highlights the evolution of military simulations and the increased …

This work contributes to developing an agent based on deep reinforcement learning
capable of acting in a beyond visual range (BVR) air combat simulation environment. The …

Surface-to-Air Missiles (SAMs) are crucial in modern air defense systems. A critical aspect of
their effectiveness is the Engagement Zone (EZ), the spatial region within which a SAM can …

This article presents an artificial intelligence model using artificial neural networks that
provide parameters to improve the situational awareness of a Beyond Visual Range (BVR) …

Computer simulations have revolutionized the analysis of military scenarios. As computing
power has advanced, simulations can now incorporate intricate tactical-level engagements …

This study proposes social navigation metrics for autonomous agents in air combat, aiming
to facilitate their smooth integration into pilot formations. The absence of such metrics poses …

This chapter provides an in-depth examination of the current use of artificial intelligence (AI)
in military training applications, with a specific focus on the importance of explainability in …

This work compares supervised machine learning methods using reliable data from
constructive simulations to estimate the most effective moment for launching missiles during …