Jisys: The Envelopment of an Artificial Immune System for Real World Applications

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

[1]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[2]  John E. Hunt,et al.  Learning using an artificial immune system , 1996 .

[3]  W. Dilger.  Decentralized autonomous organization of the intelligent home according to the principle of the immune system , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[4]  Hugues Bersini,et al.  Hints for Adaptive Problem Solving Gleaned from Immune Networks , 1990, PPSN.

[5]  G W Hoffmann,et al.  A neural network model based on the analogy with the immune system. , 1986, Journal of theoretical biology.

[6]  Patrick Brézillon,et al.  Lecture Notes in Artificial Intelligence , 1999 .

[7]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[8]  John E. Hunt,et al.  An adaptive, distributed learning system based on the immune system , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[9]  Tom Routen,et al.  Associative Memory in an Immune-Based System , 1994, AAAI.

[10]  A. Perelson.  Immune Network Theory , 1989, Immunological reviews.

[11]  Alan S. Perelson,et al.  Using Genetic Algorithms to Explore Pattern Recognition in the Immune System , 1993, Evolutionary Computation.

[12]  Steve R. White,et al.  Fighting Computer Viruses , 1997 .

[13]  John E. Hunt,et al.  Recognising Promoter Sequences Using An Artificial Immune System , 1995, ISMB.

[14]  Hugues Bersini,et al.  Immune Network and Adaptive Control , 1991 .