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Interactive cloud data farming environment for military mission planning support

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
PL
Abstrakty
EN
In a modern globalised world, military and peace keeping forces often face situations which require very subtle and well planned operations taking into account cultural and social aspects of a given region and its population as well as dynamic psychological awareness related to recent events which can have impact on the attitude of the civilians. The goal of the EUSAS project is to develop a prototype of a system enabling mission planning support and training capabilities for soldiers and police forces dealing with asymmetric threat situations, such as crowd control in urban territory. In this paper, we discuss the data-farming infrastructure developed for this project, allowing generation of large amount of data from agent based simulations for further analysis allowing soldier training and evaluation of possible outcomes of different rules of engagement.
Wydawca
Czasopismo
Rocznik
Strony
89--100
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
  • AGH University of Science and Technology, ACC Cyfronet AGH, Krakow, Poland
autor
  • AGH University of Science and Technology, ACC Cyfronet AGH, Krakow, Poland
autor
  • AGH University of Science and Technology, ACC Cyfronet AGH, Krakow, Poland
autor
  • AGH University of Science and Technology, ACC Cyfronet AGH, Krakow, Poland
autor
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatica, Computer Science and Electronics, Department of Computer Science
  • AGH University of Science and Technology, ACC Cyfronet AGH, Krakow, Poland
Bibliografia
  • [1] Atkinson A. C., Donev A. N.: Optimum Experimental Designs. Clarendon Press, 1992. 98 Bartosz Kryza, Dariusz Król, Michal Wrzeszcz et. al.
  • [2] Bezek A., M. G., Bratko I.: Multi-agent strategic modeling in a robotic soccer domain. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, pp. 457–464, 2006.
  • [3] Brandstein A., Horne G.: Data farming: A meta-technique for research in the 21st century. In Maneuver Warfare Science 1998. Marine Corps Combat Development Command Publication, 1998.
  • [4] Choo C. S., Ng E. C., Ang C. K., Chua C. L.: Systematic data farming – an application to a military scenario. In Proceedings of Army Science Conference, 2006.
  • [5] Forsyth A., Horne G., Upton S.: Marine corps applicatons of data farming. In Kuhl M. E., Steiger N. M., Armstrong F. B., Joines J. A., editors, Proceedings of the 2005 Winter Simulation Conference, pp. 1077–1081, 2005.
  • [6] Funika W., Korcyl K., Pieczykolan J., Skital L., Balos K., Slota R., Guzy K., Dutka L., Kitowski J., Zielinski K.: Adapting a hep application for running on the grid. Computing and Informatics, 28:353–367, 2009.
  • [7] Hluchy L., Kvassay M., Dlugolinsky S., Schneider B., Bracker H., Kryza B., Kitowski J.: Handling internal complexity in highly realistic agent-based models of human behaviour. In Proceedings of 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI 2011), pp. 11–16, 2011.
  • [8] Horne G., Meyer T.: Data farming: Discovering surprise. In Ingalls R. G., Rossetti M. D., Smith J. S., Peters B. A., editors, Proceedings of the 2004 Winter Simulation Conference, pp. 1082–1087, 2004.
  • [9] Horne G., Meyer T.: Data farming and defense applications. In Proceedings of the MODSIM World 2010 Conference, pp. 74–82, 2010.
  • [10] Korcyl K., Szymocha T., Funika W., Kitowski J., Slota R., Balos K., Dutka L., Guzy K., Kryza T., Pieczykolan J.: The atlas experiment on-line monitoring and filtering as an example of real-time application. Computer Science, annual of AGH University of Science and Technology, 9:77–86, 2008.
  • [11] Kvassay M., Hluchy L., Kryza B., Kitowski J., Seleng M., Dlugolinsky S., Laclavik M.: Combining object-oriented and ontology-based approaches in human behaviour modelling. In Proceedings of IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 177–182, 2011.
  • [12] Laclavik M., Dlugolinsky S., Seleng M., Kvassay M., Schneider B., Bracker H., Wrzeszcz M., Kitowski J., Hluchy L.: Agent-based simulation platform evaluation in the context of human behavior modeling. In Proceedings of the second international workshop on Infrastructures and Tools for Multiagent Systems, pp. 396–410, 2011.
  • [13] Luke S., Cioffi-Revilla C., Panait L., Sullivan K., Balan G.: Mason: A multi-agent simulation environment. Simulation: Transactions of the society for Modeling and Simulation International, 82(7):517–527, 2005.
  • [14] Marco J., Campos I., Coterillo I., Diaz I., Lopez A., Marco R., Martinez- Rivero C., Orvis P., Rodriguez D., Gomes J., Borges G., Montecelo M., Interactive cloud data farming environment for military (...) 99 David M., Silva B., Dias N., Martins J.P., Fernandez C., Garcia-Tarres L., Veiga C., Cordero D., Lopez Cacheiro J., Lopez I., Garcia-Tobio J., Costas N., Mourino J. C., Gomez A., Bogacki W., Meyer N., Owsiak M., Plociennik M., Pospieszny M., Zawadzki M., Hammad A., Hardt M., Fernandez E., Heymann E., Senar M. A., Padee A., Nawrocki K., Wislicki W., Heinzreiter P., Baumgartner M., Rosmanith H., Kranzmuller D., Volkert J., Kenny S., Coghlan B., Pajak R., Mosurska Z., Szymocha T., Lason P., Skital L., Funika W., Korcyl K., Pieczykolan J., Balos K., Slota R., Guzy K., Dutka L., Kitowski J., Zielinski K., Hluchy L., Dobrucky M., Simo B., Habala O., Astalos J., Ciglan M., Sipkova V., Babik M., Gatial E., Valles R., Reynolds J. M., Serrano F., Tarancon A., Velasco J. L., Cstejon F., Dichev K., Keller R., Stork S.: The interactive european grid: Project objecives and achievements. Computing and Informatics, 27(2):161–171, 2008.
  • [15] Nguyen N., Miller A. J.: A review of some exchange algorithms for constructing discrete d-optimal designs. Computational Statistics & Data Analysis, 14(4):489– 498, 1992
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-AGH1-0031-0007
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