A methodology for developing self-explaining agents for virtual training

Authors:
Maaike Harbers;Karel van den Bosch;John-Jules Meyer
Affiliations:
Utrecht University, Utrecht, The Netherlands;TNO Defence, Security & Safety, Soesterberg, The Netherlands;Utrecht University, Utrecht, The Netherlands
Venue:
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Year:
2009

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Abstract

Virtual training systems are used to train people for complex, dynamic tasks in which fast decision making is required, e.g. those in command in a crisis, military mission or fire incident. During a training session, trainees have to fulfill a task or mission for which they have to interact with other players, such as team-members, opponents, or colleagues from other domains. By using intelligent agents to generate the behavior of these virtual players, trainees can train at any place and time, reducing costs.