Foundations of immunocomputing

Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007

Volumn , Issue , 2007, Pages 503-508

  Tarakanov, Alexander ^a   Nicosia, Giuseppe ^b  

^a ST PETERSBURG INSTITUTE FOR INFORMATICS AND AUTOMATION   (Russian Federation)

^b UNIVERSITY OF CATANIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; FEATURE EXTRACTION; IMMUNOLOGY; NATURAL SCIENCES COMPUTING; OPTIMIZATION; PROTEINS;

AUTOIMMUNIZATION; CODING THEORY; CYTOKINES; FORMAL IMMUNE NETWORK (FIN);

ARTIFICIAL INTELLIGENCE;

EID: 34548830672     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FOCI.2007.371519     Document Type: Conference Paper

References (30)

1. Agnáti, L.F., Tarakanov, A.O., Ferre, S., Fuxe, K., & Guidolin, D. (2005). Receptor-receptor interactions, receptor mosaics, and basic principles of molecular network organization: possible implication for drug development. Journal of Molecular Neuroscience, 26/2-3, 193-208.
2. Atreas, N.D., Karanikas, C.G., & Tarakanov, A.O. (2003). Signal processing by an immune type tree transform. LNCS (Vol. 2787, pp. 111-119). Springer.
3. Cloete, I., & Zurada, J.M. (Eds.) (2000). Knowledge-Based Neurocomputing. Cambridge, MA: MIT Press.
4. Cutello, V., & Nicosia, G. (2002). An Immunological Approach to Combinatorial Optimization Problems, Proc. of 8th lbero-American Conf. on Artificial Intelligence (IBERAMI A'02), Springer, LNAI, pp. 361-370.
5. Cutello, V., Nicosia, G., & Pavone, M. (2003). A Hybrid. Immune Algorithm with Information Gain for the Graph Coloring Problem. Proc. of Int. Conf. on Genetic and Evolutionary Computation (GECCO'03), Springer-Verlag, pp. 171-182.
6. Cutello, V., Nicosia, G., & Pavone, M. (2004). An immune algorithm with hyper-macromutations for the Dill's 2D hydrophobic-hydrophilic model. Congress on Evolutionary Computation (Vol. 1, pp. 1074-1080). IEEE Press.
7. Cutello, V., Nicosia, G., & Pavone, M. (2007). An immune algorithm with stochastic aging and Kullback entropy for the chromatic number problem. Journal of combinatorial optimization, (to appear).
8. De Boer, R.J., Segel, L.A., & Perelson, A.S. (1992). Pattern formation in one and two-dimensional shape space models of the immune system. Journal of Theoretical Biology, 155 295-333.
9. De Castro, L.N., & Timmis, J. (2002). Artificial Immune Systems: A New Computational Intelligence Approach. London: Springer.
10. Dasgupta, D. (Ed.) (1999). Artificial Immune Systems and Their Applications. Berlin: Springer.
11. Farmer, J. D., & Packard, N. H., & Perelson, A. S. (1986) The immune system, adaptation, and machine learning, Physica D, Vol. 22, pp. 187-204.
12. Goncharova L.B., Jacques Y., Martin-Vide C., Tarakanov A.O., & Timmis J.I. (2005). Biomolecular immune-computer: theoretical basis and experimental simulator. LNCS (Vol. 3627, pp. 72-85). Berlin: Springer.
13. Goncharova, L.B., Melnikov, Y.B., & Tarakanov, A.O. (2003). Biomolecular immunocomputing. LNCS (Vol. 2787, pp. 102-110). Berlin: Springer.
14. Horn, R., & Johnson, Ch. (1986). Matrix Analysis. Cambridge University Press.
15. Jerne, N.K. (1974). Toward a network theory of the immune system. Annals of Immunology, 125C, 373-389.
16. Karanikas, C., & Proios, G. (2003). A non-linear discrete transform for pattern recognition of discrete chaotic systems. Chaos, Solitons and Fractals, 17, 195-201.
17. Kullback, S. (1959). Statistics and Information Theory. New York: J. Wiley & Sons.
18. Nicosia G., Cutello, V., Bentley, P., & J. Timmis (2004). Proceedings of the Third International Conference on Artificial Immune Systems, Catania, Springer-Verlag.
19. Nicosia, G. (2004). Immune Algorithms for Optimization and Protein Structure Prediction, PhD Thesis, Department of Mathematics and Computer Science, University of Catania, Italy, December 2004.
20. Renyi, A. (1970). Probability Theory. North-Holland.
21. Tarakanov, A., & Adamatzky, A. (2002). Virtual clothing in hybrid cellular automata. Kybernetes, 31/7-8, 394-405.
22. Tarakanov, A., & Dasgupta, D. (2000). A formal model of an artificial immune system. BioSystems, 55/1-3, 151-158.
23. Tarakanov, A., & Dasgupta, D. (2002). An immunochip architecture and its emulation. NASA/DoD Conference on Evolvable Hardware (EH'02), 261-265. Alexandria, Virginia.
24. Tarakanov, A.O., Goncharova, L.B., & Tarakanov, O.A. (2005). A cytokine formal immune network. LNAI (Vol. 3630, pp. 510-519). Berlin: Springer.
25. Tarakanov, A.O., Kvachev, S.V., & Sukhorukov, A.V. (2005). A formal immune network and its implementation for on-line intrusion detection. Lecture Notes in Computer Science (Vol. 3685, pp. 394-405). Berlin: Springer.
26. Tarakanov, A & Prokaev, A. (2007). Identification of cellular automata by immunocomputing. Journal of Cellular Automata, (in press).
27. Tarakanov, A., Prokaev, A. & Varnavskikh, E. (2007). Immunocomputing of hydroacoustic fields. International Journal of Unconventional Computing, (in press).
28. Tarakanov, A.O., Skormin, V.A., & Sokolova, S.P. (2003). Immunocomputing: Principles and Applications. New York: Springer.
29. Tarakanov, A.O., & Tarakanov, Y.A. (2004). A comparison of immune and neural computing for two real-life tasks of pattern recognition. Lecture Notes in Computer Science (Vol. 3239, pp. 236-249). Springer.
30. Tarakanov, A.O., & Tarakanov, Y.A. (2005). A comparison of immune and genetic algorithms for two real-life tasks of pattern recognition. International Journal of Unconventional Computing, 1/4, 357-374.