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Dendritic cell trafficking: from Immunology to Engineering.

Hart, Emma; Davoudani, Despina

Authors

Despina Davoudani



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

Presentation Conference Type Conference Paper (Published)
Conference Name 8th International Conference, ICARIS 2009
Start Date Aug 9, 2009
End Date Aug 12, 2009
Publication Date 2009-08
Deposit Date Jan 29, 2010
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 5666
Pages 11-13
Series Title Lecture Notes in Computer Science
Series Number 5666
Series ISSN 0302-9743
Book Title Artificial Immune Systems
ISBN 978-3-642-03245-5
DOI https://doi.org/10.1007/978-3-642-03246-2_4
Keywords Artificial immune systems; AIS; immune systems; agent-based modelling techniques; dendritic-cell trafficking; wireless sensor network;
Public URL http://researchrepository.napier.ac.uk/id/eprint/3479
Publisher URL https://doi.org/10.1007/978-3-642-03246-2_4