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Author Hans Abbink; Roel Van Dijk; Tamas Dobos; Mark Hoogendoorn; Catholijn M. Jonker; Savas Konur; Peter-Paul Van Maanen; Viara Popova; Alexei Sharpanskykh; Peet Van Tooren; Jan Treur; Jeroen M. Valk; Lai Xu; Pinar Yolum
Title Automated support for adaptive incident management Type Conference Article
Year 2004 Publication Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2004
Volume Issue Pages 69-74
Keywords Cybernetics; Information systems; Adaptive; Automated support; Dynamic property; Formal analysis; Incident Management; Intermediate results; Multi-agent; Automation
Abstract The project CIM, started in 2003, addresses the problem of automated support for incident management. In this paper some intermediate results are shown, especially on automated support of analysis of errors in traces of incident management. For such traces it can be checked automatically which dynamic properties hold or fail. The potential of the approach is shown in the formal analysis of a given empirical trace. The approach can also be applied in conjunction with simulation experiments. © Proceedings ISCRAM 2004.
Address Almende, Westerstraat 50, 3016 DJ Rotterdam, Netherlands; Department of Artificial Intelligence, Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam, Netherlands
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971080 Medium
Track POSTER SESSION Expedition Conference 1st International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 65
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Author Niels Netten; Maarten Van Someren
Title Automated support for dynamic information distribution in incident management Type Conference Article
Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006
Volume Issue Pages 230-237
Keywords Artificial intelligence; Information systems; Adaptive information; Automated support; Dynamic information; Emergency response personnels; Group communications; Incident Management; Machine learning methods; Simulated experiments; Learning systems
Abstract For all emergency response personnel involved in crisis situations it is essential to timely acquire all information critical to their task performance. However, in practice errors occur in the distribution of information between these collaborating actors leading to mistakes and subsequently more damage to the situation. In this paper we present a prototype system for dynamic information distribution able to support the information flow between collaborating crisis actors. The system has been evaluated by means of simulated experiments that use data from a real incident scenario. The results indicate that automated support by means of Machine Learning method works well. Especially, when actor work context features are included, then the performance on selecting and distributing relevant information is high. Furthermore, actors acquire relevant information much faster making group communication much more efficient.
Address Human-Computer Studies Laboratory, Informatics Institute, University of Amsterdam (UvA), Netherlands
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium
Track COMMAND AND CONTROL Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 807
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