David Mendonça, Yao Hu, & Qing Gu. (2007). Cognitive-level support for improvisation in emergency response. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 489–496). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Improvisation-serial and purposeful creativity, exercised under time constraint-is an intensely cognitive endeavor. Accordingly, supporting improvisation requires an understanding of the underlying cognitive processes and an identification of opportunities for support. This paper reports on the development of cognitively-grounded computer-based support for improvisation in a simulated emergency response situation. The application is a computational model which attends to traces of group decision processes, analyzes them, and attempts to achieve fit between its own intentions and those of the group. The current architecture and functioning of the model are discussed, along with an overview of the simulation platform. Current and future workin the areas of model validation and evaluation is described. The results of this work strongly suggest that model-based support for improvisation is possible, but that for the time being will be restricted to synthetic situations, of the kind often used in training exercises.
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Patrick Lieser, Julian Zobel, Björn Richerzhagen, & Ralf Steinmetz. (2019). Simulation Platform for Unmanned Aerial Systems in Emergency Ad Hoc Networks. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
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André Sabino, Rui Nóbrega, Armanda Rodrigues, & Nuno Correia. (2008). Life-saver: Flood emergency simulator. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 724–733). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper proposes an agent-based simulation system for Dam Break Emergency Plan validation. The proposed system shows that integrating GIS data with an agent-based approach provides a successful simulation platform for the emergency plan validation process. Possible strategies to emergency plan modeling and representation are discussed, proposing a close relation with the actual workflow followed by the entities responsible for the plan's specification. The simulation model is mainly concerned with the location-based and location-motivated actions of the involved agents, describing the likely effects of a specific emergency situation response. The simulator architecture is further described, based on the correspondence between the representation of the plan, and the simulation model. This includes the involving characteristics of the simulation, the simulation engine, the description of the resulting data (for the later evaluation of the emergency plan) and a visualization and interaction component, enabling the dynamic introduction of changes in the scenario progression.
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