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Author Jo Erskine Hannay; Yelte Kikke pdf  isbn
openurl 
  Title Structured crisis training with mixed reality simulations Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages  
  Keywords Exercise management, Mixed reality, Simulation, Deliberate practice, ADL, MSaaS, C2Sim, ExConSim, ExManSim  
  Abstract We argue that current technology for crisis training does not explicitly cater well enough for managing training

objectives and skill building metrics throughout the lifespan of training. We suggest how successful crisis training

may be enabled by interoperating next-generation exercise management tools with mixed-reality simulations. We

propose an architecture consisting of (1) a front-end in which training objectives, essential skills, corresponding

events and metrics can be declared, (2) a back-end consisting of simulations that implement the events and metrics

and (3) a middleware which transfers information between the front-end and back-end to enable semi-automatic

composition of the simulations and performance analysis. The purpose of this architecture is to facilitate learning

through the principles of deliberate practice. We indicate where emerging technologies are necessary to achieve this.
 
  Address Univeristy of Oslo, Norway  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title (up) Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T15- Open Track Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1896  
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Author Dashley Rouwendal van Schijndel; Audun Stolpe; Jo Erskine Hannay pdf  openurl
  Title Toward an AI-based external scenario event controller for crisis response simulations Type Conference Article
  Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021  
  Volume Issue Pages 106-117  
  Keywords Scenario event controller, AI Planning, Modelling and Simulation, Simulation controller  
  Abstract There is a need for tool support for structured planning, execution and analysis of simulation-based training for crisisresponse and management. As a central component of an architecture for such tool support, we outline the design ofan AI-based scenario event controller. The event controller is a component that uses machine reasoning to computethe next state in a scenario, given the actions performed in the corresponding simulation (execution of the scenario).Scenarios are specified in Answer Set Programming, which is a logic programming language we use for automatedplanning of training scenarios. A plan encoding in ASP adds expressivity in scenario specification and enablesmachine reasoning. For exercise managers this gives AI-based tool support for before-action and during-actionreviews to optimize learning. In line with Modelling and Simulation as as Service, our approach externalizes eventcontrol from any particular simulation platform. The scenario, and its unfolding in terms of events, is externalizedas a service. This increases interoperability and enables scenarios to be designed and modified readily and rapidlyto adapt to new training requirements.  
  Address University of Oslo; Norsk Regnesentral; Norsk Regnesentral  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title (up) Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-61-5 ISBN Medium  
  Track AI and Intelligent Systems for Crises and Risks Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management  
  Notes d.k.rouwendal@its.uio.no Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2318  
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