Dendritic cell trafficking: from Immunology to Engineering.

Hart, Emma and Davoudani, Despina (2009) Dendritic cell trafficking: from Immunology to Engineering. In: Artificial Immune Systems,. Lecture Notes in Computer Science, 5666 . Springer-Verlag, pp. 11-13. ISBN 978-3-642-03245-5

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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

Item Type: Book Section
ISBN: 978-3-642-03245-5
Electronic ISBN: 978-3-642-03246-2
Uncontrolled Keywords: Artificial immune systems; AIS; immune systems; agent-based modelling techniques; dendritic-cell trafficking; wireless sensor network;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 003 Systems
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.3 Artificial intelligence
600 Technology > 620 Engineering > 621 Electronic & mechanical engineering > 621.3 Electrical & electronic engineering > 621.38 Electronics & Communications engineering > 621.389 Computer engineering
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3479
Depositing User: Computing Research
Date Deposited: 29 Jan 2010 11:57
Last Modified: 28 Nov 2013 11:44

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