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A layered multiagent decision support system for crisis management

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Języki publikacji
EN
Abstrakty
EN
Decision Support Systems are powerful tools to help support making decisions. However, they are known to be customized for a specific purpose and can rarely be reused. Moreover, they do not support complex situations sufficiently. Our work addresses this challenge and consists in building a DSS that aims to help emergency managers to manage cases of crisis. The DSS is designed to be flexible and adaptive, so that it may be applied on different subjects of studies and whose behaviour may change with the change of its environment. We endowed it therefore with a multiagent layered core whose role is to represent dynamically and in real time the current situation, to characterize it and to compare it with past known scenarios. The final result of the DSS will help decision-makers to analyze the current crisis and its possible evolution. The RoboCupRescue simulation system is chosen as a test bed to illustrate and to test this approach.
Rocznik
Strony
125--132
Opis fizyczny
bibliogr. 16 poz., rys.
Twórcy
autor
  • Optimization Strategies and Intelligent Computer Science Laboratory, Higher Institute of Management, 41, Rue de la Liberte, Cite Bouchoucha 2000, Le Bardo, Tunis, Tunisia
Bibliografia
  • [1] S.L. Cutter, D.B. Richardson and T.J. Wilbanks, The Geographical Dimensions of terrorism, Taylor and Francis, New York, 2003.
  • [2] M.J. Druzdzel and R. Flynn, Decision Support Systems, Encyclopedia of Library and Information Science, 67, 2000, 120-133.
  • [3] M. Ester, H.P. Kriegel, J. Sander and X. Xu. A, Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, In: Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996, 226-231.
  • [4] S. French and C. Niculae, Believe in the Model: Mishandle the Emergency, Journal of Homeland Security and Emergency Management, 2, 2005, 1-18.
  • [5] J.A. Hartigan and M.A. Wong, A k-means clustering algorithm, 28, 1979, 100-108.
  • [6] C.W. Holsapple and A.B. Whinston, Decision support systems, West publishing company, New York, 1996.
  • [7] G. King, Crisis management & team effectiveness: A closer examination, Journal of Business Ethics, 42, 2002, 235-249.
  • [8] H. Kitano, RoboCup Rescue: A Grand Challenge for Multi-Agent Systems, In: ICMAS, Washington, DC, USA, 2000, 5-12.
  • [9] J. Kolodner, Case-based reasoning, Morgan Kaufmann,Boston, 1993.
  • [10] RoboCupRescue, http://www.robocuprescue.org/cue, RoboCupRescue official web site.
  • [11] C. Rolland and al., A proposal for a scenario classification framework, 3, Secaucus, NJ, USA, 1998,23-47.
  • [12] P. Schrivastava, Crisis Theory/Practice: Towards a Sustainable Future, Industrial and Environmental Crisis Quarterly, 7, 1, 1993, 23-42.
  • [13] T. Takahashi, RoboCupRescue Simulation Manual, http://sakura.meijou.ac.jp/ttakaHP/kiyosu/robocup/Rescue/manual-English-v0r4/index.html.
  • [14] W.A. Woods, Transition network grammars for natural language analysis, In: Commun. ACM, 13,10, New York, NY, USA, 1970, 591-606.
  • [15] M. Wooldridge and N.R. Jennings, Intelligent Agents: Theory and Practice, Knowledge Engineering Review, 1994.
  • [16] M. Wooldridge, An Introduction to MultiAgent Systems, John Wiley & Sons, 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4d708d4c-75dd-4d74-acce-d8df9b396db0
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