• DocumentCode
    2317220
  • Title

    Modelisation of bio inspired systems using MDA

  • Author

    Mili, Seif Eddine ; Meslati, Djamel

  • Author_Institution
    Lab. de Rech. en Inf. (LRI), Univ. Badji Mokhtar Annaba, Annaba, Algeria
  • fYear
    2012
  • fDate
    24-26 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    As the abstractions presented by biologically inspired systems, systems architects will be required to include the abstractions in their architecture in order to communicate the design to system implementers. The paper describes a new formalism based on biology and Model Driven Architecture (MDA) in order to find a new and easy way to design and understand (reverse engineering) a complex bio inspired system. The paper also describes then a set of bio inspired views which are used when describing bio inspired system. Finally we use the proposed approach to model Xor artificial neural network.
  • Keywords
    neural nets; reverse engineering; software architecture; Xor artificial neural network modelling; biologically inspired systems; biology; complex bio inspired system; model driven architecture; reverse engineering; system architecture; Adaptation models; Biological system modeling; Computational modeling; Computer architecture; Gold; Unified modeling language; Bio Inspired System; Model Driven Architecture; Negative Selection; Nneural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and e-Services (ICITeS), 2012 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-1167-0
  • Type

    conf

  • DOI
    10.1109/ICITeS.2012.6216606
  • Filename
    6216606