• DocumentCode
    2574113
  • Title

    Assessment of the ontological approach in factory automation from the perspectives of connectionism

  • Author

    Dvoryanchikova, Aleksandra ; Lastra, Jose L Martinez

  • Author_Institution
    Inst. of Production Eng., Tampere
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    724
  • Lastpage
    727
  • Abstract
    This paper is aimed to discuss the abilities of the ontologies to describe a human like structure of knowledge and propose some visions on how the ontologies can be developed in accordance to the lessons from the cognitive psychology. The needs of intelligent industrial environment require the solution for replacement of technical expertise of engineers. The ontological approach is claimed to be a suitable tool to represent engineering knowledge. However, the ontologies were created in base of semantic networks, which are criticized for several restrictions in knowledge representation and reasoning abilities. In the authors´ opinion, the connectionist approach, which gives more explanations for the working of human mind, can be potentially useful in creating of knowledge bases in intelligent manufacturing.
  • Keywords
    factory automation; intelligent manufacturing systems; ontologies (artificial intelligence); semantic networks; cognitive psychology; engineering knowledge; factory automation; human like structure; intelligent industrial environment; intelligent manufacturing; knowledge representation; semantic networks; Artificial intelligence; Humans; Intelligent agent; Knowledge engineering; Knowledge representation; Manufacturing automation; Manufacturing processes; Manufacturing systems; Ontologies; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on
  • Conference_Location
    Patras
  • Print_ISBN
    978-1-4244-0825-2
  • Electronic_ISBN
    978-1-4244-0826-9
  • Type

    conf

  • DOI
    10.1109/EFTA.2007.4416842
  • Filename
    4416842