Title :
iNet: an extensible framework for simulating immune network
Author :
Suzuki, J. ; Yamamoto, Y.
Author_Institution :
Graduate Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
Abstract :
The natural immune system is a subject of great research interest because it provides powerful and flexible information processing capabilities as a complex adaptive system. This paper describes our extensible framework, named iNet, for building artificial immune systems, particularly artificial immune networks, which has been used in several of our projects developing biologically-inspired intelligent applications. We describe the iNet architecture, its design principles and features, highlighting its versatility and component reusability. We also describe an autonomous decentralized network application built with iNet as a sample use case for showing how to use it
Keywords :
adaptive systems; artificial intelligence; biocybernetics; digital simulation; diseases; medical computing; artificial immune networks; autonomous decentralized network application; biologically-inspired intelligent applications; complex adaptive system; component reusability; extensible framework; flexible information processing capabilities; iNet; simulation; Adaptive systems; Artificial immune systems; Artificial intelligence; Buildings; Cities and towns; Immune system; Information processing; Intelligent networks; Object oriented modeling; Space exploration;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884975