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Dendritic Cell Trafficking: From Immunology to Engineering

  • Emma Hart
  • Despina Davoudani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5666)

Abstract

The field of Artificial Immune Systems (AIS) has derived inspiration from many different elements of the natural immune system in order to develop engineered systems that operate in environments with constraints similar to those faced by the immune system [1]. A recent shift in thinking in AIS advocates developing a greater understanding of the underlying biological systems that serve as inspiration for engineering such systems by developing abstract computational models of the immune system in order to better understand the natural biology [2]. In this paper, we present results from a study in which agent-based modelling techniques were used to construct a model of dendritic-cell trafficking in the natural immune system with the aim of translating this model to an engineered system: a large-scale wireless sensor network. Our results highlight some generic issues which may arise when modelling biology with the intention of applying the results to AIS, rather than when modelling in order to replicate observed biological data. We suggest that the constraints of the engineered system must be considered when iterating the model, and that certain aspects of the biology may not be appropriate for the engineered system in question.

Keywords

Wireless Sensor Network Engineer System Artificial Immune System Natural Biology Natural Immune System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Emma Hart
    • 1
  • Despina Davoudani
    • 1
  1. 1.Edinburgh Napier UniversityEdinburghScotland, UK

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