• DocumentCode
    1612067
  • Title

    A software framework for ACP in social computing

  • Author

    Bin Chen ; Laobing Zhang ; Rongqing Meng ; Peng Zhang ; Gang Guo

  • Author_Institution
    Res. Center of Comput. Experiments & Parallel Syst. Technol., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • Firstpage
    138
  • Lastpage
    142
  • Abstract
    This paper proposes a novel software framework called KD-ACP. The framework implements the techniques of Artificial Society, Computational Experiments and Parallel Execution. KD-ACP provides a systematic and automatic platform for scientists to study the emergency management problems in social computing. It is composed of a series of tools categorized into three parts correspond with the “A”, “C” and “P” respectively. The results from case study show that the most optimal emergency response decisions can be found through the software framework. In the end, the advantages of the KD-ACP and the futures work are summarized in the conclusion.
  • Keywords
    emergency management; software architecture; KD-ACP software framework; artificial society; computational experiments; emergency management problems; parallel execution; social computing; Computational modeling; Data models; Databases; Emergency services; Social network services; Sociology; Software; ACP; Artificial Beijing; H1N1 Experiments; Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2013
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-0332-0
  • Type

    conf

  • DOI
    10.1109/CAC.2013.6775716
  • Filename
    6775716