@inproceedings {RouwendalvanSchijndel-Stolpe-Hannay-2021,
	title = {Toward an AI-based external scenario event controller for crisis response simulations},
	journal = {Proceedings of the 18th Int{\textquoteright}l Conf. Information on Information Systems for Crisis Response and Management (ISCRAM{\textendash}-AI and Intelligent Systems for Crises and Risks},
	year = {2021},
	publisher = {International Association for Information Systems for Crisis Response and Management},
	abstract = {There is a need for tool support for structured planning, execution and analysis of simulation-based training for crisis response and management. As a central component of an architecture for such tool support, we outline the design of an AI-based scenario event controller. The event controller is a component that uses machine reasoning to compute the next state in a scenario, given the actions performed in the corresponding simulation (execution of the scenario). Scenarios are specified in Answer Set Programming (ASP), which is a logic programming language we use for automated planning of training scenarios. A plan encoding in ASP adds expressivity in scenario specification and enables machine reasoning. For exercise managers this gives AI-based tool support for before-action and during-action reviews to optimize learning. In line with Modelling and Simulation as as Service, our approach externalizes event control from any particular simulation platform. The scenario, and its unfolding in terms of events, is externalized as a service. This increases interoperability and enables scenarios to be designed and modified readily and rapidly to adapt to new training requirements.},
	author = {Dashley Kevin {Rouwendal} and Stolpe, Audun and Jo Erskine {Hannay}},
	editor = {Adrot, Anouck and Grace, Rob and Moore, Kathleen and Zobel, Christopher}
}
