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The Immune System as a Metaphor for Topology Driven Patterns Formation in Complex Systems

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Artificial Immune Systems (ICARIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7597))

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Abstract

Artificial Immune Systems (AIS) [1] include algorithms and systems that use the human immune system as inspiration. The human immune system is a robust, decentralised, error tolerant and adaptive system. Such properties are highly desirable for the development of novel computer systems, but also - we would like to say - for characterizing complex systems and for contributing to the growth of complexity science.

Thanks to EU for having selected TOPDRIM project.

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References

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Author information

Authors and Affiliations

  1. School of Science and Technology, University of Camerino, Italy

    Emanuela Merelli

  2. ISI Foundation, Torino, Italy

    Mario Rasetti

Authors
  1. Emanuela Merelli
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  2. Mario Rasetti
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Editor information

Editors and Affiliations

  1. Departmento de Computación, Centro de Investigacion y de Estudios, Avanzados del Instituto Politecnico Nacional (CINVESTAV-IPN), Av. Insituto Politécnico Nacional No. 2508, Col. San Pedro Zacatenco, 07300, Mexico, D.F., Mexico

    Carlos A. Coello Coello

  2. School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, NG8 1BB, Nottingham, UK

    Julie Greensmith

  3. School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, NG81BB, Nottingham, UK

    Natalio Krasnogor

  4. Computer Laboratory, University of Cambridge, William Gates Building, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, UK

    Pietro Liò

  5. Department of Mathematics and Computer Science, University of Catania, Viale A. Doria 6, 95125, Catania, Italy

    Giuseppe Nicosia  & Mario Pavone  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Merelli, E., Rasetti, M. (2012). The Immune System as a Metaphor for Topology Driven Patterns Formation in Complex Systems. In: Coello Coello, C.A., Greensmith, J., Krasnogor, N., Liò, P., Nicosia, G., Pavone, M. (eds) Artificial Immune Systems. ICARIS 2012. Lecture Notes in Computer Science, vol 7597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33757-4_23

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  • DOI: https://doi.org/10.1007/978-3-642-33757-4_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33756-7

  • Online ISBN: 978-3-642-33757-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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