@inproceedings {Stolpe-Hannay-2021,
	title = {On the Adaptive Delegation and Sequencing of Actions},
	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},
	month = {2021},
	publisher = {International Association for Information Systems for Crisis Response and Management},
	abstract = {Information systems support to crisis response and management relies on presenting actionable information in a manner that supports cognitive processes. We outline how AI Planning can be used viably to support the delegation and sequencing of tasks, using standard operating procedures as initial specifications of plans. When expressed in the AI planning language Answer set Programming (ASP), machine reasoning can be used in a pre-incident review to display the cooperative structure inherent in a plan. The purpose of this is to uncover weaknesses and to optimize the plan. Further, adaptive planning can be supported in during-incident reviews by updating the current status and recomputing the consequences. At this point, initial goals may no longer be viable and the explicit suggestion of prior sub-optimal goals now worth pursuing can be a game-changer under stress.},
	author = {Stolpe, Audun and Jo Erskine {Hannay}},
	editor = {Amanda Lee {Hughes} and McNeill, Fiona and Zobel, Christopher}
}
@inproceedings {RouwendalvanSchijndel-Hannay-Stolpe-2020,
	title = {Simulation Vignette Generation from Answer Set Specifications},
	journal = {Proc. 17th Int{\textquoteright}l Conf. Information Systems for Crisis Response and Management (ISCRAM){\textendash}-AI Systems for Crisis and Risks},
	year = {2020},
	month = {2020},
	publisher = {International Association for Information Systems for Crisis Response and Management},
	abstract = {We investigate an approach that allows exercise managers to design simulations with an explicit focus on building skills, rather than having to focus on all the objects and interactions that a simulation must have. Exercise managers may design exercises at various levels of abstraction and always independently of how those sessions are implemented in simulations, while simulation components that implement the design are assembled and to some extent, automatically, behind the scenes. We outline (1) how Answer Set Programming can assist exercise managers in exercise planning and (2) how automated stage and content generation may be used to invoke appropriate simulation components to realize the design. For deliberate and recurrent training of decision-making skills, stages and content must vary to avoid familiarity (testing effects). We conclude by distilling a main research hypothesis that stipulates how (1) and (2) represent two modes of automated reasoning (so-called deductive versus abductive) and how that distinction clarifies the planning task.},
	author = {D. K. Rouwend {van Schijndel} and Jo Erskine {Hannay} and Stolpe, A.},
	editor = {Amanda Lee {Hughes} and McNeill, Fiona and Zobel, Christopher}
}
