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Dynamical Behavior of Discrete Models of Jerne’s Network

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Theories of Immune Networks

Part of the book series: Springer Series in Synergetics ((SSSYN,volume 46))

Abstract

The arguments exchanged during this meeting give a strong evidence that the debate about the existence and biological function of the immune network proposed by N. Jerne [1] is certainly not settled. Although the existence of idiotypic interactions is well established by experimental data, part of the debate focuses on the too simplistic dynamical properties of mathematical models supposed to take into account the most important aspects of idiotypic interactions [2]. The purpose of this intervention is to remind you that our present knowledge about networks of automata enables us to present discrete mathematical models which exhibit enough dynamical complexity to overcome the apparent paradoxes presented by the opponents to the idea of a functional immune network.

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References

  1. N. K. Jerne: Towards a netwok theory of the Immune System, Ann. Immunol. (Inst. Pasteur) 125C, 373–389, (1974).

    CAS  Google Scholar 

  2. Immunol. Rev. 79, Idiotypic networks, (1984).

    Google Scholar 

  3. A.S. Perelson: Towards a realistic model of the immune system, 377-401, in ≪Theoretical Immunology ≫ part two, ed. by A.S. Perelson, Addison Wesley (1988).

    Google Scholar 

  4. D.S. Holmberg, S. Forgren, F. Ivars and A. Couthinho: Reactions among IgM antibodies derived from normal neonatal mice, Eur. J. Imunol. 14, 435–441, (1984).

    Article  CAS  Google Scholar 

  5. R.J. De Boer: Extensive percolation in reasonable idiotypic networks, this volume (1989).

    Google Scholar 

  6. D. Stauffer, ≪Introduction to percolation theory≫, Taylor and Francis (1985).

    Google Scholar 

  7. H. Atlan, this volume (1989).

    Google Scholar 

  8. D. Farmer, T. Toffoli, S. Wolfram Eds: ≪Cellular Automata≫. Physica 10D, North-Holland, (1984).

    Google Scholar 

  9. R.B. Pandey and D. Stauffer: Immune response via interacting three dimensional network of cellular automata, Journal de Physique (1988).

    Google Scholar 

  10. C. Kittel and H. Kroemer, ≪Thermal Physics≫, Freeman and Co. (San Francisco 1980).

    Google Scholar 

  11. S. A. Kauffman, J. Theor. Biol., 22, 437–467, (1969).

    Article  PubMed  CAS  Google Scholar 

  12. H. Atlan, F. Fogelman-Soulie, J. Salomon and G. Weisbuch: Random boolean networks, Cybernetics and Systems, 12, 103, (1981).

    Google Scholar 

  13. W.S Mac Culloch, W. Pitts: A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophysics, 5, (1943), 115–133.

    Article  Google Scholar 

  14. J.J. Hopfield: Neural Networks and Physical Systems with Emergent Collective Computational Abilities, P.N.A.S. USA, 79, (1982), 2554–2558.

    Article  CAS  Google Scholar 

  15. E. Bienenstock, F. Fogelman Soulie, G. Weisbuch Eds: ≪Disordered Systems and Biological Organization≫, Springer Verlag, NATO ASI Series in Systems and Computer Science, no F20, (1986).

    Google Scholar 

  16. J. Denker Ed.: ≪Neural Networks for Computing≫. Conf. Proceedings no 151: Snowbird, Utah, 1986. American Institute of Physics (1986).

    Google Scholar 

  17. G. Weisbuch, ≪Dynamique des systèmes complexes, une introduction aux réseaux d’automates≫, InterEditions (Paris 1989).

    Google Scholar 

  18. B. Derrida and G. Weisbuch: Evolution of overlaps between configurations in random boolean networks, J. de Physique, 47, 1297, (1986).

    Article  Google Scholar 

  19. B. Derrida, E. Gardner and A. Zippelius: An exactly solvable asymmetric neural network model, Europhysics Let., 4, 167, (1987).

    Article  Google Scholar 

  20. B. Derrida: Dynamical phase transitions in non-symmetric spin glasses, J. Phys. A 20, L721–725, (1987).

    Google Scholar 

  21. H. Atlan, I. Cohen and G. Weisbuch, to appear (1989).

    Google Scholar 

  22. K. E. Kurten: Training quaskandom neural netwoks, in ≪Chaos and Complexity≫, ed. R. Livi, S. Ruffo, S. Ciliberto and M. Buiatti, World Scientific (Singapore 1988).

    Google Scholar 

  23. D.E. Rumelhart, J.L. Mac Clelland Eds: ≪Parallel and Distributed Processing: explorations in the Microstructure of Cognition≫. 2 vol., MIT Press, (1986).

    Google Scholar 

  24. M. Kaufman, this volume (1989).

    Google Scholar 

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© 1989 Springer-Verlag Berlin, Heidelberg

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Weisbuch, G. (1989). Dynamical Behavior of Discrete Models of Jerne’s Network. In: Atlan, H., Cohen, I.R. (eds) Theories of Immune Networks. Springer Series in Synergetics, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83935-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-83935-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83937-5

  • Online ISBN: 978-3-642-83935-1

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