Beyond visual range air combat simulations: validation methods and analysis using agent-based models

Abstract

Computer simulations have revolutionized the analysis of military scenarios. As computing power has advanced, simulations can now incorporate intricate tactical-level engagements. However, accurately representing actors’ decisions at this level poses new challenges for developing and validating these simulations. In this context, this paper presents the methodologies and lessons learned from a study conducted to assess the application of agent-based modeling and simulation (ABMS) in analyzing beyond visual range (BVR) air combat scenarios, focusing on the influence of agent behavior on the outcomes. The proposed approach integrates real pilots into a face validation phase to examine symmetric and asymmetric engagements. The results underscore the significance of agent behaviors for the outcomes, for example, showing how specific behaviors are capable of mitigating the advantages of superior weaponry. Furthermore, the research explores the dynamics of aircraft acting in pairs, demonstrating the potential to evaluate tactics and the impact of numerical advantage. Ultimately, the results enhance the simulations’ credibility and confirm their plausibility, in line with the face validation methodology. This powerful phase bolsters subsequent steps in the overall validation process. In addition, the findings show how specific configurations of the agents, including tactical coordination, can significantly affect the simulation outcomes and validity.