• DocumentCode
    2376483
  • Title

    Collective group role assignment and its complexity

  • Author

    Zhu, Haibin

  • Author_Institution
    Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON, Canada
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    351
  • Lastpage
    356
  • Abstract
    Role assignment is an important task in Role-Based Collaboration (RBC) and Adaptive Collaboration. There are many variations in the process of role assignment. An introduction of any new requirement leads to a significant change in the process and the complexity of the algorithm of role assignment. This paper formally identifies a group of problems in role assignment when multiple agents are involved; proposes initial solutions; conducts simulations and experiments to reveal the complexity of collective group role assignment, and indicates future work activities. The contributions of this paper include formal provision of taxonomy for collective group role assignment and indication of the complexities arising from of this type of problem through simulations and experiments.
  • Keywords
    groupware; multi-agent systems; RBC; adaptive collaboration; collective group role assignment; multiple agents; role-based collaboration; Algorithm design and analysis; Argon; Collaboration; Complexity theory; Object recognition; Qualifications; agents; colletive group role assginment; role assignment; roles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083690
  • Filename
    6083690