Abstract
The self-nonself character of antigens is considered to be fuzzy. The Chowdhuryet al. cellular automata model is generalized accordingly. New steady states are found. The first corresponds to a below-normal help and suppression and is proposed to be related to autoimmune diseases. The second corresponds to a below-normal B-cell level.
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References
J. Benjamini and S. Leskowitz,Immunology (Liss, New York, 1989).
J. Bezdek and S. Pal, eds.,Fuzzy Methods for Pattern Recognition (IEEE, 1992).
D. Chowdhury, D. Stauffer, and P. Choudry,J. Theor. Biol. 145:207 (1990).
G. Klir and T. Folger,Fuzzy Sets, Uncertainty and Information (Prentice-Hall, Englewood Cliffs, New Jersey, 1988).
V. A. Kuznetsov, I. A. Makalkin, M. A. Taylor, and A. S. Perelson,Bull. Math. Biol. 56:295 (1994).
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Communicated by D. Stauffer
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Ahmed, E. Fuzzy cellular automata models in immunology. J Stat Phys 85, 291–294 (1996). https://doi.org/10.1007/BF02175567
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DOI: https://doi.org/10.1007/BF02175567