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Relevance of Pattern Recognition in a Non-deterministic Model of Immune Responses

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Artificial Immune Systems (ICARIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6825))

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Abstract

An artificial immune system model which lacks an explicit pattern recognition mechanism, yet appears to explain immunological memory and immune responses had been proposed[1, 2]. In this study, I asked whether inclusion of a pattern recognition mechanism (antigen-antibody) in the same computer simulation would substantially change the outcomes and thus the explanatory power of the proposed model. Our results suggest that although antigen-antibody interactions can elicit the emergence of an immune response, their relevance is contingent on the previous condition of the system, that is, the starting balance between suppressive and reactive agents (attractor) and its distance from the threshold for an inflammatory response. I conclude that changing the attractor (which maintain the level of reactivity in the background) is more important for the emergence or non-emergence of immune responses than modifying the pattern recognition system.

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Authors and Affiliations

  1. Department of Surgery, Division of Transplantation, Foothills Medical Centre, 1403 – 29 street NW, Calgary, AB, T2N 2T9, Canada

    Anastasio Salazar-Bañuelos

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  1. Anastasio Salazar-Bañuelos
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Editors and Affiliations

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

    Pietro Liò

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

    Giuseppe Nicosia

  3. Chair for IT Security (I20), Technische Universität München, Boltzmannstraße 3, 85748, Garching, Germany

    Thomas Stibor

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Salazar-Bañuelos, A. (2011). Relevance of Pattern Recognition in a Non-deterministic Model of Immune Responses. In: Liò, P., Nicosia, G., Stibor, T. (eds) Artificial Immune Systems. ICARIS 2011. Lecture Notes in Computer Science, vol 6825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22371-6_12

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  • DOI: https://doi.org/10.1007/978-3-642-22371-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22370-9

  • Online ISBN: 978-3-642-22371-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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