A comparative analysis of artificial immune network models

This paper presents a review of different artificial immune network models, which have been published during the last years. A general model of artificial immune network is presented, which provides a common notation that allows the comparison of different models. A descriptive and comparative analysis is presented emphasizing similarities, differences and relationships between models. Finally, some conclusions and suggestions for improving existent models are presented.

[1]  Mark James Neal,et al.  Meta-stable Memory in an Artificial Immune Network , 2003, ICARIS.

[2]  Fabio A. González,et al.  TECNO-STREAMS: tracking evolving clusters in noisy data streams with a scalable immune system learning model , 2003, Third IEEE International Conference on Data Mining.

[3]  Fernando José Von Zuben,et al.  An Immune Learning Classifier Network for Autonomous Navigation , 2003, ICARIS.

[4]  Yoshiki Uchikawa,et al.  A robot with a decentralized consensus-making mechanism based on the immune system , 1997, Proceedings of the Third International Symposium on Autonomous Decentralized Systems. ISADS 97.

[5]  Simon M. Garrett A Paratope Is Not an Epitope: Implications for Immune Network Models and Clonal Selection , 2003, ICARIS.

[6]  G. Parisi A simple model for the immune network. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Jonathan Timmis,et al.  A resource limited artificial immune system for data analysis , 2001, Knowl. Based Syst..

[8]  L.N. de Castro,et al.  An artificial immune network for multimodal function optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[9]  Fernando Niño,et al.  A Robust Immune Based Approach to the Iterated Prisoner?s Dilemma , 2004, ICARIS.

[10]  Alan S. Perelson,et al.  The immune system, adaptation, and machine learning , 1986 .

[11]  Guan-Chun Luh,et al.  Reactive Immune Network Based Mobile Robot Navigation , 2004, ICARIS.

[12]  G. Weisbuch,et al.  Immunology for physicists , 1997 .

[13]  J Timmis,et al.  An artificial immune system for data analysis. , 2000, Bio Systems.

[14]  D. Dasgupta,et al.  The fuzzy artificial immune system: motivations, basic concepts, and application to clustering and Web profiling , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[15]  F. Azuaje Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .

[16]  Jerne Nk Towards a network theory of the immune system. , 1974 .

[17]  F.J. Von Zuben,et al.  Decentralized control system for autonomous navigation based on an evolved artificial immune network , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[18]  Yoshiki Uchikawa,et al.  A gait acquisition of a 6-legged robot using immune networks , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[19]  H. Abbass,et al.  aiNet : An Artificial Immune Network for Data Analysis , 2022 .

[20]  Jonathan Timmis,et al.  Artificial immune systems - a new computational intelligence paradigm , 2002 .

[21]  L. N. de Castro Immune, swarm, and evolutionary algorithms. Part I: basic models , 2002 .

[22]  Alex Alves Freitas,et al.  AISEC: an artificial immune system for e-mail classification , 2003, IEEE Congress on Evolutionary Computation.

[23]  John E. Hunt,et al.  Learning using an artificial immune system , 1996 .

[24]  Fumihito Arai,et al.  Self-organizing multiple robotic system (a population control through biologically inspired immune network architecture) , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[25]  Mark Neal,et al.  An artificial immune system for continuous analysis of time-varying data , 2002 .

[26]  Jonathan Timmis,et al.  A Fractal Immune Network , 2004, ICARIS.