• DocumentCode
    478154
  • Title

    A Conditional Reflex Model Based Bayesian Network (CRMBBN)

  • Author

    Liu, JianGuo ; Lu, Yansheng ; Chen, JiuYun

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    3
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    3
  • Lastpage
    8
  • Abstract
    A model based Bayesian network (CRMBBN) is presented with classical conditional behaviors. A new concept about sense is introduced, the model regards sense as input and output sense prediction of next time. Reflex is not involved in CRMBBN, the non-classical conditional reflex is put into the instinctive behavior of the agent. So the model constructs Cause-Effect relationships between classical conditional sense and non-classical conditional sense, and the relationships are presented by Bayesian Network. A serial typical experiments have proved that CRMBBN can successfully stimulate many phenomena such as acquire, inter-stimulus effects, extinction and so on.
  • Keywords
    belief networks; multi-agent systems; Bayesian network; CRMBBN; conditional reflex model; learning method; Automotive engineering; Bayesian methods; Computational modeling; Computer network management; Computer networks; Computer science; Page description languages; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Bayesian Network; agent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.552
  • Filename
    4667090