Adaptive Agents for Fit-for-Purpose Training

Simulators and games provide contextually rich environments, enabling learners to experience the relations between actions, events and outcomes. In order to be effective, learning situations need to be tailored to the needs of the individual learner. Virtual characters (or agents) that, in real time, select, adapt, and exhibit the behavior that...

Explanation and coordination in human-agent teams: A study in the BW4T testbed

There are several applications in which humans and agents jointly perform a task. If the task involves interdependence among the team members, coordination is required to achieve good team performance. Coordination in human-agent teams can be improved by giving humans insight in the behavior of the agents. When humans are able to understand and...

A theoretical framework for explaining agent behavior

To understand emergent processes in multi-agent-based simulations it is important to study the global processes in a simulation as well as the processes on the agent level. The behavior of individual agents is easier to understand when they are able to explain their own behavior. In this paper, a theoretical framework for explaining agent...