Abstract
This chapter Enscribes a machine learning system based on metaphors taken from the human immune system. This learning system, known as an Artificial Immune System (AIS), has been Enveloped over the past 3 years. The current implementation,Jisys,embodies the results of this research. However, the Jisys implementation requires further Envelopment as well as application to complex real world problems. This chapter Enscribes future Envelopments ofJisysas well as consiEnration of how it can be applied to a complex problem in the domain of mortgage fraud Entection. It should not be read as a Ensign document, although it contains elements of such a document, rather it should be read as an indication of the directions which need to be followed, the issues which need to be addressed and some suggested solutions
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References
[Bersini and Varela, 1990] H.Bersini and F.Varela. Hints for adaptive problem solving gleaned from immune networks. Proceedings of the First Conference on Parallel Problem Solving from Nature, 1990, pp. 343–354
[Bersini, 1991]H. Bersini. Immune network and adaptive control. Proceedings of the First European Conference on Artificial Life. (Ed. F.J. Varela and P. Bourgine), 1991, pp. 465–465, MIT Press.
[Bersini and Varela 1994] H. Bersini, and F. Varela. The Immune Learning Mechanisms: Reinforcement, Recruitment and their Application, Computing with Biological Metaphors, ed. R. Paton, Pub. Chapman and Hall, London, 1994, pp. 166–192
[Cooke and Hunt, 1995] D.E. Cooke and J.E. Hunt, Recognising Promoter Sequences Using an Artificial Immune System, in Proc. Intelligent Systems in Molecular Biology (ISMB"95), Pub AAAI Press, 1995, pp. 89–97
[Dilger, 1997] W. Dilger. Encentralized Autonomous Organization of the Intelligent Home According to the Principle of the Immune System, 1997, pp. 351–356, IEEE SMC.
[Forrest et al 1993]S. Forrest, B. Javornik, R.E. Smith and A.S. Perelson. Using genetic algorithms to explore pattern recognition in the immune system. Evolutionary Computation, 1, 1993, pp. 191–211
[Gilbert and Routen, 1994]C.J. Gilbert and T.W. Routen. Associative memory in an immune-based system. Proceedings of AAAI, 2, 1994, pp. 852–857
[Goldberg 1989] D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Pub. Addison Wesley, 1989
[Hoffmann,1986]G.W. Hoffmann. A neural network Model based on the analogy with the immune system. Journal of Theoretical Biology, 122, 1986, pp. 33–67
[Hunt et al. 1995] J.E. Hunt, D.E. Cooke and H. Holstein,Casememory and retrieval Based on the Immune System, in the First International Conference onCaseBased Reasoning, Published as Case-Based Reasoning Research and Envelopment, Ed. Manuela Weloso and Agnar Aamodt, Lecture Notes in Artificial Intelligence 1010, 1995, pp. 205 –216
[Hunt and Cooke 1995] J.E.Hunt and D.E.Cooke, An Adaptive, Distributed Learning System, based on the Immune System, in Proc. of the IEEE International Conference on Systems Man and Cybernetics, 1995, pp. 2494 – 2499
[Hunt and Cooke,1996] J.E. Hunt and D.E. Cooke, Learning Using An Artificial Immune System, in Journal of Network and Computer Applications: Special Issue on Intelligent Systems: Ensign and Application, Vol. 19, 1996, pp. 189–212
[Hunt and Fellows 1996] J.E.Hunt and A.Fellows, Introducing an Immune Response into a CBR system for Data Mining, in BCS ESG"96 Conference and published as Research and Envelopment in Expert Systems XIII, 1996
[Kephart et al, 1997] J.O.Kephart, G.B.Sorkin, D.M.Chess and S.R.White. Fighting Computer Viruses, Scientific American, November 1997, pp. 56–61
[Kolodner 1993] J.L. Kolodner, Case-Based Reasoning, Morgan Kaufmann, 1993.
[Perelson, 1989] A.S. Perelson. Immune Network Theory, Immunological Review, 110, 1989, pp. 5–36
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Hunt, J., Timmis, J., Cooke, E., Neal, M., King, C. (1999). Jisys: The Envelopment of an Artificial Immune System for Real World Applications. In: Dasgupta, D. (eds) Artificial Immune Systems and Their Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59901-9_9
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DOI: https://doi.org/10.1007/978-3-642-59901-9_9
Publisher Name: Springer, Berlin, Heidelberg
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