Abstract
Despite a steady increase in the application of algorithms inspired by the natural immune system to a variety of domains over the previous decade, we argue that the field of Artificial Immune Systems has yet to achieve its full potential. We suggest that two factors contribute to this; firstly, that the metaphor has been applied to insufficiently complex domains, and secondly, that isolated mechanisms that occur in the immune system have been used naïvely and out of context. We outline the properties of domains which may benefit from an immune approach and then describe a number of immune mechanisms and perspectives that are ripe for exploration from a computational perspective. In each of these mechanisms collaboration plays a key role. The concepts are illustrated using two exemplars of practical applications of selected mechanisms from the domains of machine learning and wireless sensor networks. The article suggests that exploiting the collaborations that occur between actors and signals in the immune system will lead to a new generation of engineered systems that are fit for purpose in the same way as their biological counterparts.
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References
Artificial Immune Systems, Proceedings of International Conferences, Lecture Notes in Computer Science. Springer (2001-2008)
Andrews, P., Timmis, J. In: Silico Immunology, chap. Alternative Inspiration for Artificial Immune Systems: Exploiting Cohen’s Cognitive Immune Model. Springer (2007)
Andrews, P., Timmis, J. In: Silico Immunology, chap. Alternative Inspiration for Artificial Immune Systems: Exploiting Cohen’s Cognitive Model. Springer (2007)
Andrews, P.S., Timmis, J.: Inspiration for the next generation of artificial immune systems. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005, vol. 3627, pp. 126–138. Springer, Heidelberg (2005)
Arvind, D., Elgaid, K., Krauss, T., Paterson, A., Stewart, R., Thayne, I.: Towards an integrated design approach to specknets. In: IEEE Int. Conf. Communications 2007, ICC 2007, pp. 3319–3324 (2007)
Bersini, H.: Why the first glass of wine is better than the seventh. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005. LNCS, vol. 3627, pp. 100–111. Springer, Heidelberg (2005)
Burnet, F.: The clonal selection theory of acquired immunity. Cambridge University Press, Cambridge (1959)
Carneiro, J., Coutinho, A., Faro, J., Stewart, J.: A model of the immune network with b-t cell co-operation. i - prototypical structures and dynamics. Journal of Theoretical Biology 182, 513–529 (1996)
Carneiro, J., Coutinho, A., Stewart, J.: A model of the immune network with b-t cell co-operation. ii - the simulation of ontogenisis. Journal of Theoretical Biology 182, 531–547 (1996)
de Castro, L., Von Zuben, F.: Learning and optimization using the clonal selection principle. IEEE Transactions on Evolutionary Computation 6(3), 239–251 (2002)
Cohen, I.: The cognitive paradigm and the immunological homunculus. Immunology Today (1992)
Cohen, I.: Tending Adam’s garden: evolving the cognitive immune self. Elsevier Academic Press, Amsterdam (2000)
Cohen, I.: Real and artifical immune systems: computing the state of the body. Nature (2007)
Coutinho, A.: Immunology at the crossroads. European Molecular Biology Organisation Reports 3(11), 1008–1011 (2002)
Davoudani, D., Hart, E.: Computing the state of specknets: An immune-inspired approach. In: To be published in Proc. Int. Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2008, Edinburgh, UK, June 16–18 (2008)
Davoudani, D., Hart, E., Paechter, B.: An immune-inspired approach to speckled computing. In: de Castro, L.N., Von Zuben, F.J., Knidel, H. (eds.) ICARIS 2007. LNCS, vol. 4628, pp. 288–299. Springer, Heidelberg (2007)
Davoudani, D., Hart, E., Paechter, B.: Computing the state of specknets: Further analysis of an innate immune-inspired model. In: Bentley, P.J., Lee, D., Jung, S. (eds.) ICARIS 2008. LNCS, vol. 5132, pp. 95–106. Springer, Heidelberg (2008)
De Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computational Intelligence Approach. Springer, London (2002)
Farmer, J.D., Packard, N.H., Perelson, A.S.: The immune system, adaptation and machine learning. Physica 22, 187–204 (1986)
Forrest, S., Hofmeyr, S., Somayaji, A.: Computer immunology. Commun. ACM 40(10), 88–96 (1997)
Forrest, S., Perelson, A., Allen, L., Cherukuri, R.: Self-nonself discrimination in a computer. In: Proceedings of the IEEE Symposium on research, security and privacy, pp. 202–212 (1994)
Freund, Y., Schapire, R.E.: A decision theoretic generalisation of on-line learning and an application to boosting. Journal of Computer and System Sciences 55(1), 119–139 (1997)
Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting (1998), http://citeseer.ist.psu.edu/friedman98additive.html
Greensmith, J., Aickelin, U., Twycross, J.: Articulation and clarification of the dendritic cell algorithm. In: Bersini, H., Carneiro, J. (eds.) ICARIS 2006. LNCS, vol. 4163, pp. 404–417. Springer, Heidelberg (2006)
Hart, E., Bersini, H., Santos, F.: How affinity influences tolerance in an idiotypic network. J. Theor. Biology (2007)
Hart, E., Davoudani, D., McEwan, C.: Immunological inspiration for building a new generation of autonomic systems. In: Autonomics, p. 9 (2007)
Hart, E., Timmis, J.: Application areas of ais: The past, the present and the future. Applied Soft Computing 8, 191–201 (2008)
Hofmeyr, S., Forrest, S.: Immunity by design. In: Proceedings of GECCO 1999, pp. 1289–1296 (1999)
Holland, J.: Adaptation in Natural and Artificial Systems. MIT Press, Cambridge (1992)
Janeway, C.A., Travers, P., Walport, M., Schlomchik, M.: Immunobiology. Garland (2001)
Jerne, N.: Towards a network theory of the immune system. Annals of Immunology (Inst. Pasteur) 125, 373–389 (1974)
Littlestone, N., Warmuth, M.K.: The weighted majority algorithm. Information and Computation 108, 212–261 (1994)
McEwan, C., Hart, E., Paechter, B.: Revisiting the central and peripheral immune system. In: de Castro, L.N., Von Zuben, F.J., Knidel, H. (eds.) ICARIS 2007. LNCS, vol. 4628, pp. 240–251. Springer, Heidelberg (2007)
McEwan, C., Hart, E., Paechter, B.: Towards a model of immunological tolerance and autonomous learning. Submitted to Natural Computing (2008)
Neal, M.: Meta-stable memory in an artificial immune network. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 168–180. Springer, Heidelberg (2003)
Neal, M., Trapnell, B.J.: Go Dutch: Exploit Interactions and Environments with Artificial Immune Systems. In: Silico Immunology, Springer, Heidelberg (2007)
Neuman, Y.: The immune self, the sign and the testes. Semiotics, Evolution, Energy, Development, 85–109 (2005)
Orosz, C.: Desgin Principles for Immune System and Other Distributed Autonomous Systems, chap. An Introduction to Immuno-ecology and Immuno-informatics. Oxforf Univ.Press, Oxforf (2001)
Perelson, A.S., Weisbuch, G.: Immunology for physicists. Review of Modern Physics 69 (1997)
Schapire, R.E.: The strength of weak learnability. Machine Learning 5, 197–227 (1990), http://citeseer.ist.psu.edu/schapire90strength.html
Sompayrac, L.: How the immune system works, 3rd edn. Blackwell Publishing, Malden (2008)
Stepney, S.: In Silico Immunology, chap. Embodiment. Springer, Heidelberg (2006)
Stepney, S., Smith, R., Timmis, J., Tyrrell, A., Neal, M., Hone, A.: Conceptual frameworks for artificial immune systems. Journal of Unconventional Computing 1(3), 315–338 (2005)
Stewart, J.: Cognition without neurons: adaptation, learning and memory in the immune system. In: CC AI, pp. 7–30 (1994)
Stewart, J., Coutinho, A.: The affirmation of self: A new perspective on the immune system. Artificial Life 10, 261–276 (2004)
Stibor, T., Timmis, J., Eckert, C.: On the use of hyperspheres in artificial immune systems as antibody recognition regions. In: Bersini, H., Carneiro, J. (eds.) ICARIS 2006. LNCS, vol. 4163, pp. 215–228. Springer, Heidelberg (2006)
Timmis, J., Andrews, P., Owens, N., Clark, E.: An interdisciplinary perspective on artificial immune systems. Evolutionary Intelligence 1(1), 5–26 (2008)
Timmis, J., Hart, E., Neal, M., Stepney, S., Tyrrell, A.: Immuno-engineering. In: 2nd IFIP International Conference on Biologically Inspired Collaborative Computing. IEEE Press, Los Alamitos (2008)
Timmmis, J.: Artificial immune systems - today and tomorrow. Natural Computing 6(1), 1–18 (2007)
Varela, F., Coutinho, A., Dupire, B., Vaz, n.: Cognitive networks: Immune, neural and otherwise. J. Theoretical Immunology (1988)
Vargas, P., de Castro, L., Michelan, R., Von Zuben, F.: An immune learning classifier network for autonomous navigation. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 69–80. Springer, Heidelberg (2003)
Vargas, P., de Castro, L., Von Zuben, F.: Mapping artificial immune systems into learning classifier systems. In: Lanzi, P.L., Stolzmann, W., Wilson, S.W. (eds.) IWLCS 2003. LNCS (LNAI), vol. 2661, pp. 163–186. Springer, Heidelberg (2003)
Voigt, D., Wirth, H., Dilger, W.: A computational model for the cognitive immune system theory based on learning classifier systems. In: de Castro, L.N., Von Zuben, F.J., Knidel, H. (eds.) ICARIS 2007. LNCS, vol. 4628, pp. 264–275. Springer, Heidelberg (2007)
Watkins, A., Timmis, J.: Exploiting parallelism inherent in airs: an artificial immune classifier. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 427–438. Springer, Heidelberg (2004)
Whitbrook, A., Aickelin, U.J.G.: Idiotypic immune networks in mobile robot control. IEEE Transactions on Systems, Man and Cybernetics, Part B 37(6), 1581–1598 (2007)
Wong, K., Arvind, D.: Speckled computing: Disruptive technology for networked information appliances. In: Proceedings of the IEEE International Symposium on Consumer Electronics (ISCE 2004), pp. 219–223 (2004)
Wong, K., Arvind, D.K.: Specknets: New challenges for wireless communication protocols. In: Third International Conference on Information Technology and Applications. ICITA 2005, vol. 2, pp. 728–733 (2005)
Zambonelli, F., Van Dyke Parunak, H.: Signs of a revolution in computer science and software engineering. In: Petta, P., Tolksdorf, R., Zambonelli, F. (eds.) ESAW 2002. LNCS, vol. 2577, pp. 13–28. Springer, Heidelberg (2003) (revised papers)
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Hart, E., McEwan, C., Davoudani, D. (2009). Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems. In: Mumford, C.L., Jain, L.C. (eds) Computational Intelligence. Intelligent Systems Reference Library, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01799-5_16
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