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
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;
Conference_Titel :
Information Technology and e-Services (ICITeS), 2012 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1167-0
DOI :
10.1109/ICITeS.2012.6216606