• DocumentCode
    1608609
  • Title

    Research on the Behavior Model of Enterprise Network Agent

  • Author

    Shi, Yonggui ; Yan, Jianfen ; Ma, Zhibo

  • Author_Institution
    Dept. of Econ. & Manage., Shijiazhuang Univ., Shijiazhuang, China
  • fYear
    2012
  • Firstpage
    247
  • Lastpage
    250
  • Abstract
    Although the enterprise network has a variety of forms, they all have the basic characteristics of CAS: Aggregation, Identification, Nonlinear, Stream, Diversity, Internal model and Building blocks. Enterprise network is made of a number of agents who are relatively autonomous and intelligent, which has active adaptive, multi-hierarchy nature, open, non-linear (butterfly effect), synergy and learning together and other characteristics. Based on stimulus - response model of CAS theory, the article built the behavioral model of enterprise network agents. Behavioral model of the enterprise network consists of three main parts: a detector, an effecter and a set of IF / THEN rules. Rules here have two meanings: one is the set of behavior rules among agents in enterprise network, the other is the set of behavior rules between agents in enterprise network. Connection between agents in enterprise network is generated through the rules changing constantly, the change of rules is completed through the distribution of rules and the discovery of new rules.
  • Keywords
    business data processing; multi-agent systems; organisational aspects; CAS theory; IF-THEN rules; behavior model; building blocks; enterprise network agent; internal model; rule discovery; rule distribution; Adaptation models; Adaptive systems; Detectors; Educational institutions; Supply chains; Virtual enterprises; Behavior model; Credit distribution; Enterprise network; The discovery of new rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.72
  • Filename
    6322361