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Empirical Investigation of an Artificial Cytokine Network

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Artificial Immune Systems (ICARIS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5132))

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Abstract

We present an empirical investigation of a mathematical model of cytokine and cell interactions, as derived by Hone and van den Berg, with the intention of ascertaining its potential for deployment in an engineering context. The model’s behavioural robustness regarding various patterns of input is assessed, as is it’s scope for manipulation through parameter adjustments. Based on these observations we make an addition to the system and attempt to deliberately engineer particular behavioural properties. Finally, the system’s suitability for use in engineering is assessed.

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References

  1. Hone, A., van den Berg, H.: In Silico Immunology. In: Mathematical Analysis of Artificial Immune System Dynamics and Performance, pp. 351–374. Springer, Heidelberg (2007)

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  2. Hone, A., van den Berg, H.: Modelling a cytokine network (special session: Foundations of artificial immune systems). In: FOCI, pp. 389–393. IEEE, Los Alamitos (2007)

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  3. Stepney, S., Smith, R.E., Timmis, J., Tyrrell, A.M., Neal, M.J., Hone, A.N.W.: Conceptual frameworks for artificial immune systems. International Journal of Unconventional Computing 1(3), 315–338 (2005)

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of York, UK, YO10 5DD

    Mark Read, Jon Timmis & Paul S. Andrews

  2. Department of Electronics, University of York, UK, YO10 5DD

    Jon Timmis

Authors
  1. Mark Read
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  2. Jon Timmis
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  3. Paul S. Andrews
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Editor information

Peter J. Bentley Doheon Lee Sungwon Jung

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© 2008 Springer-Verlag Berlin Heidelberg

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Read, M., Timmis, J., Andrews, P.S. (2008). Empirical Investigation of an Artificial Cytokine Network. In: Bentley, P.J., Lee, D., Jung, S. (eds) Artificial Immune Systems. ICARIS 2008. Lecture Notes in Computer Science, vol 5132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85072-4_30

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  • DOI: https://doi.org/10.1007/978-3-540-85072-4_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85071-7

  • Online ISBN: 978-3-540-85072-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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