Abstract
Simulations for training can greatly benefit from BDI agents as virtual humans playing the role of key players. Learning to communicate effectively is a key aspect of training to command a team that is managing a crisis. In this paper, we present a goal-based dialogue system which has been applied to a navy fire-fighting incident simulation, training the commanding officer. The system enables more natural training of communication because agents utilize specialized communication goals. Communication is data-driven where the content is defined by a shared ontology of domain knowledge and tasks. The use of this ontology enables reuse of agent capabilities within the system and enables a tight coupling between the agents and the simulation.
Categories and Subject Descriptors:
I.2.0 [Artificial Intelligence]: General - Cognitive Simulation
I.2.1 [Artificial Intelligence]: Applications and Expert Systems
I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence - Intelligent Agents, Multiagent Systems
I.6.3 [Simulation and Modeling]: Applications
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van Oijen, J., van Doesburg, W., Dignum, F. (2011). Goal-Based Communication Using BDI Agents as Virtual Humans in Training: An Ontology Driven Dialogue System. In: Dignum, F. (eds) Agents for Games and Simulations II. AGS 2010. Lecture Notes in Computer Science(), vol 6525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18181-8_3
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DOI: https://doi.org/10.1007/978-3-642-18181-8_3
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