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CWME: A Framework of Group Support System for Emergency Responses

  • Yaodong Li
  • Huiguang He
  • Baihua Xiao
  • Chunheng Wang
  • Feiyue Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)

Abstract

As the world becomes more and more interconnected and complex, the emergent events, such as terrorist acts, infectious diseases and natural disasters challenge the rapid response ability of the public and the governments more and more. In general, emergency responses always involve so many complex problems that it beyond the decision capacity of a single person or organization. To meet this challenge, some new approaches of decision support for emergency responses need to be discovered. In this paper, a framework of this type of system, CWME, is introduced. It’s based on the theories for Open Complex Giant Systems[1]. The key point of this system is to synthesize the intelligence of experts, the high performance of computers and data, information to understand the problems comprehensively and to make better decisions.

Keywords

Emergency Response Homeland Security Decision Capacity Emergent Event Initial Draft 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Tsein, T.S., Dai, R.W., Yu, J.Y.: A New Scientific Field: Open Complex Giant Systems and Its Methodology. Ziran Zazhi 13(1), 3–10 (1990)Google Scholar
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    Chen, H., Wang, F.-Y.: Artificial Intelligence for Homeland Security. IEEE Intelligent Systems 20(5), 12–16 (2005)CrossRefGoogle Scholar
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    Yao, Y.Y., Wang, F.-Y., Wang, J., Zeng, D.: Rule + Exception Strategies for Security Information Analysis. IEEE Intelligent Systems 20(5), 52–57 (2005)CrossRefGoogle Scholar
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    Chen, H., Wang, F.-Y., Zeng, D.: Intelligence and Security informatics for Homeland Security: Information, Communication and Transportation. IEEE Trans. Intelligent Transportation Systems 5(4), 329–341 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yaodong Li
    • 1
  • Huiguang He
    • 1
  • Baihua Xiao
    • 1
  • Chunheng Wang
    • 1
  • Feiyue Wang
    • 1
  1. 1.Institute of AutomationChinese Academy of SciencesBeijingChina

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