• DocumentCode
    453895
  • Title

    To Illustrate the Benefit of Using Fuzzy Logic as Part of the Reasoning Model for Knowledge Worker Assisting Agents

  • Author

    Shia, Angie F.

  • Author_Institution
    Dept. of Comput. Sci., California State Univ., Chico, CA
  • Volume
    1
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    565
  • Lastpage
    571
  • Abstract
    A knowledge worker (KW) is anyone who has a special skill. It is a waste of resource for the KW to spend time doing errands or things that does not require expertise, such as look up the Web for something or run some simple process. A knowledge worker assisting agent or a KW agent can help a KW do such errands. A KW agent usually contains algorithms or logic to process pre-determined, commonly used or commercially available programs. Down the line, KW agents can be extended to assist any human user that is not necessarily a knowledge worker
  • Keywords
    case-based reasoning; fuzzy logic; natural languages; software agents; case-based reasoning model; fuzzy logic; knowledge worker assisting agent; Automatic control; Business; Computational intelligence; Computational modeling; Computer science; Fuzzy logic; Fuzzy sets; Humans; Natural languages; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631323
  • Filename
    1631323