• DocumentCode
    2567800
  • Title

    Improvement to rated group role assignment algorithms

  • Author

    Zhu, Haibin ; Alkins, Rob

  • Author_Institution
    Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON, Canada
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    4716
  • Lastpage
    4721
  • Abstract
    Role assignment is a critical task in Role-Based Collaboration (RBC). It can be divided into three steps, i.e., agent evaluation, group role assignment, and role transfer, where group role assignment is a time-consuming process. This paper clarifies the problem of group role assignment; describes the general assignment problem; adapts the group role assignment problem to the general assignment problem; proposes an algorithm for group role assignment based on the Munkres algorithm; conducts an experiment by randomly creating agent qualifications, analyzes the solutions´ performances, and points out the future work. The results show that the improved algorithm significantly improves the algorithm based on exhaustive search.
  • Keywords
    search problems; Munkres algorithm; agent evaluation; exhaustive search; rated group role assignment algorithms; role transfer; role-based collaboration; Algorithm design and analysis; Collaboration; Collaborative work; Computer science; Cybernetics; Mathematics; Performance analysis; Qualifications; Role transfer; USA Councils; agents; role assignment; role-based collaboration; roles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346095
  • Filename
    5346095