Capturing the quake player: using a BDI agent to model human behaviour
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Folk Psychology for Human Modelling: Extending the BDI Paradigm
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
FeGA: A Feedback-Generating Agent
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Agents for games and simulations II
Using agent technology to build a real-world training application
Agents for games and simulations II
Scenario-based training: director's cut
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
The design and effect of automated directions during scenario-based training
Computers & Education
Modeling agents with a theory of mind: Theory--theory versus simulation theory
Web Intelligence and Agent Systems
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Simulation-based training in complex decision making often requires ample personnel for playing various roles (e.g. team mates, adversaries). Using intelligent agents may diminish the need for staff. However, to achieve goal-directed training, events in the simulation as well as the behavior of key players must be carefully controlled. We propose to do that by using a director agent (DA). A DA can be seen as a supervisor, capable of instructing agents and steering the simulation. We explain and illustrate the concept in the context of training in on-board fire fighting.