Validating Air Combat Behaviour Models for Adaptive Training of Teams.

On many occasions, the use of machine learning to adaptively generate new content for training simulations has been demonstrated. However, the validation of the new content (i.e., proof that the new content is fit for use in training simulations), has received relatively little attention. In this study, we design a validation procedure for one particular type of content, namely the behaviour models for the virtual opponents in air combat training simulations. As a case study, we generate a new set of behaviour models and apply the validation procedure to them. Our results are positive, but leave room for interpretation. We discuss why this is the case and suggest avenues for future work.