An engineering-Informed modelling approach to AIS.

Hart, Emma and Davoudani, Despina (2011) An engineering-Informed modelling approach to AIS. In: Proceedings of International Conference on Artificial Immune Systems (ICARIS 2010). Lecture Notes in Computer Science . Springer-Verlag, pp. 240-253. ISBN 978-3-642-22370-9

Available under License Creative Commons Attribution Non-commercial.

Download (1MB)


A recent shift in thinking in Artificial Immune Systems (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. We propose a refinement
to existing frameworks which requires development of such models to be
driven by the engineering problem being considered; the constraints of
the engineered system must inform not only the model development, but
also its validation. Using a case-study, we present a methodology which
enables an abstract model of dendritic-cell trafficking to be developed
with the purpose of building a self-organising wireless sensor network for
temperature monitoring and maintenance. The methodology enables the
development of a model which is consistent with the application constraints
from the outset and can be validated in terms of the functional
requirements of the application. Although the result models are not likely
to be biologically faithful, they enable the engineer to better exploit the
underlying metaphor, ultimately leading to reduced development time of
the engineered system.

Item Type: Book Section
ISBN: 978-3-642-22370-9
Electronic ISBN: 978-3-642-22371-6
Uncontrolled Keywords: Artificial Immune Systems; computational modelling;
University Divisions/Research Centres: Edinburgh Napier University, Institute for Informatics and Digital Innovation
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.3 Artificial intelligence
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 4551
Depositing User: Computing Research
Date Deposited: 27 Jun 2011 11:04
Last Modified: 22 Oct 2013 10:43

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics

Edinburgh Napier University is a registered Scottish charity. Registration number SC018373