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Topological constraints in the evolution of idiotypic networks.

Hart, Emma, Santos, Francisco and Bersini, Hugues (2007) Topological constraints in the evolution of idiotypic networks. In: Artificial Immune Systems: Proceedings of 6th International Conference, ICARIS 2007. Lecture Notes in Computer Science, 4628 . Springer-Verlag, pp. 252-263. ISBN 978-3-540-73921-0

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Abstract/Description

Previous studies have shown that there is an intricate relationship between the topology of an idiotypic network and its resulting properties. However, empirical studies can only be performed by pre-selecting both a shape-space and affinity function. This introduces a number of simplifications into any model and makes it subsequently difficult to abstract the underlying contribution made by the topology from the particular instantiation of the model. In this paper, we introduce the concept of the potential network as a method in which abstract network topologies can be directly studied which allows us to bypass any definition of shape-space and affinity function. By using ideas from complex network theory to study a variety of homogeneous and heterogeneous potential networks, we show that bi-partide and heterogeneous topologies are able to tolerate antigens in certain regions, where as those showing high levels of clustering are unable to do so. It is also shown that the equilibrium topology resulting from traditional immune dynamics depends dramatically on the potential topology of a network.

Item Type: Book Section
ISBN: 978-3-540-73921-0
Electronic ISBN: 978-3-540-73922-7
Uncontrolled Keywords: idiotypic network; topology; artificial immune systems; equilibrium;
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 > 006 Special Computer Methods > 006.3 Artificial intelligence
Library of Congress Subjects: Q Science > QA Mathematics > QA76 Computer software
Item ID: 3434
Depositing User: Computing Research
Date Deposited: 15 Mar 2010 14:29
Last Modified: 10 Dec 2013 15:51
URI: http://researchrepository.napier.ac.uk/id/eprint/3434

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