Learning parameters for a cognitive model on situation awareness

Abstract

Cognitive models are very useful to establish human-like behavior in an agent. Such human-like behavior can be essential in for instance serious games in which humans have to learn a certain task, and are either faced with automated teammates or opponents. To tailor these cognitive models towards a certain scenario can however be a time-consuming task requiring a lot of domain expertise. In this paper, a cognitive model is taken as a basis, and the addition of scenario specific information is for a large part automated. The performance of the approach of automatically adding scenario specific information is rigorously evaluated using a case study in the domain of fighter pilots. © 2013 Springer-Verlag.