A Cognitive Model for the Generation and Explanation of Behaviour in Virtual Training Systems

Instructors play a major role in many of the current virtual training systems. Consequently, either many instructors per trainee are needed, which is expensive, or single instructors perform highly demanding tasks, which might lead to suboptimal training. To solve this problem, this paper proposes a cognitive model that not only generates the behaviour of virtual characters, but also produces explanations about it. Agents based on the model reason with BDI concepts, which enables the generation of explanations that involve the underlying reasons for an agent’s actions in ’human’ terms such as beliefs, intentions, and goals.