• DocumentCode
    1750571
  • Title

    Soft computing agents

  • Author

    Lakov, Dimitar

  • Author_Institution
    ICCS, Bulgarian Acad. of Sci., Sofia, Bulgaria
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    2585
  • Abstract
    The paper introduces a new paradigm in the broad family of software agents. It is called soft computing agents (SCA) that combines the advantages of soft computing technology with the software agents paradigm as universal optimal resource allocation techniques. SCA is oriented to improve the quality of service QoS and endows intelligent agents with the ability to perceive, be aware, and perform sensitive to customers´ claims optimal actions. Primary definitions and axiomatics of SCA are introduced. The strategy of mobile SCA creation dedicated to a routing task has been developed. It comprises three types of SCAs: information, optimal routing, and inter-node interactive. These three types of SCA have been created for the solution of optimal routing tasks into Internet applications. The first, information SCA, is responsible for providing necessary information in all the nodes under some horizon under consideration. The second type performs optimization based on such gathered information. The third type, inter-node interactive SCA, is responsible for timely recover of the current states to every node into the horizon after every successive routing implementation
  • Keywords
    Internet; optimisation; quality of service; resource allocation; software agents; Internet; intelligent agents; mobile SCA; optimal resource allocation; optimal routing tasks; optimization; quality of service; soft computing agents; software agents; Cathode ray tubes; Color; Computers; Distributed control; Fuzzy logic; Intelligent agent; Internet; Paper technology; Reactive power; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943630
  • Filename
    943630