Abstract
In this paper we present an Abstract Immune System Algorithm, based on the model introduced by Farmer et al, inspired on the theory of Clonal Selection and Idiotypic Network due to Niels Jerne. The proposed algorithm can be used in order to solve problems much in the way that Evolutionary Algorithms or Artificial Neural Networks do. Besides presenting the Algorithm itself, we briefly discuss its various parameters, how to encode input data and how to extract the output data from its outcome. The reader can do their own experiments using the workbench found in the address http://ctp.di.fct.unl.pt/~jddp/immune/ .
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Axelrod, R.: The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton Press, Princeton, NJ (1997)
Balcázar, J., Díaz, J., Gabarró, J.: Structural Complexity I, 2nd edn. Springer, Heidelberg (1995)
Bersini, H.: Reinforcement learning and recruitment mechanism for adaptive distributed control. Technical Report IR/IRIDIA/92-4, Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (1992)
Bersini, H., Seront, G.: Optimizing with the immune recruitment mechanism. Technical Report TR/IRIDIA/93-6, Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (1993)
Bersini, H., Varela, F.J.: The immune recruitment mechanism: A selective evolutionary strategy. Technical Report IR/IRIDIA/91-5, Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (1991)
Burnet, F.M.: The Clonal Selection Theory of Acquired Immunity. Cambridge University Press, Cambridge (1959)
Celada, F., Seiden, P.E.: A computer model of cellular interactions in the immune system. Immunology Today 13(2), 56–62 (1992)
Coutinho, A.: The network theory: 21 years later. Scandinavian Journal of Immunology 42, 3–8 (1995)
DasGupta, D. (ed.): Artficial Immune Systems and Their Applications. Springer, Heidelberg (1998)
de Castro, L.N, Timmis, J.: Artificial Immune Systems: A New Computational Approach. Springer, Heidelberg (2002)
Farmer, J.D., Packard, N.H., Perelson, A.S.: The immune system, adaptation, and machine learning. Physica D 22, 187–204 (1986)
Forsdyke, D.R.: The origins of the clonal selection theory of immunity as a case study for evaluation in science. The FASEB Journal 9, 164–166 (1995)
Herbert, W.J., Wilkinson, P.C., Stott, D.I: The Dictionary of Immunology, 4th edn. Academic Press, San Diego (1995)
Jerne, N.K.: The natural-selection theory of antibody formation. Proceedings of The National Academy of Sciences 41, 849–856 (1955)
Jerne, N.K.: Towards a network theory of the immune system. Ann. Immunol. (Inst. Pasteur) 125(C), 373–389 (1974)
Lord, C.: An emergent homeostatic model of immunological memory. Technical report, Carnegie Mellon Information Networking Institute (February 2002)
Manderick, B.: The importance of selectionist systems for cognition. In: Patton, R. (ed.) Computing with Biological Metaphors, pp. 373–392. Chapman and Hall, Sydney, Australia (1994)
Paul, W.E. (ed.): Fundamental Immunology, 3rd edn. Raven Press, New York (1993)
Perelson, A.S., Weisbuch, G.: Immunology for physicists. Reviews of Modern Physics 69(4), 1219–1263 (1997)
Poundstone, W.: Prisoner’s Dilemma: John von Neumann, Game Theory and the Puzzle of the Bomb. Doubleday Publishing (1993)
Tarakanov, A.O., Skormin, V.A., Sokolova, S.P.: Immunocomputing: Principles and Applications. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pacheco, J., Costa, J.F. (2007). The Abstract Immune System Algorithm. In: Akl, S.G., Calude, C.S., Dinneen, M.J., Rozenberg, G., Wareham, H.T. (eds) Unconventional Computation. UC 2007. Lecture Notes in Computer Science, vol 4618. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73554-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-73554-0_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73553-3
Online ISBN: 978-3-540-73554-0
eBook Packages: Computer ScienceComputer Science (R0)