Intelligent agents for training on-board fire fighting

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Abstract

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. © 2009 Springer Berlin Heidelberg.

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APA

Van Den Bosch, K., Harbers, M., Heuvelink, A., & Van Doesburg, W. (2009). Intelligent agents for training on-board fire fighting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5620 LNCS, pp. 463–472). https://doi.org/10.1007/978-3-642-02809-0_49

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