Conceptual frameworks for artificial immune systems

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dc.contributor.author Smith, R. E.
dc.contributor.author Timmis, J.
dc.contributor.author Stepney, S.
dc.contributor.author Neal, Mark
dc.date.accessioned 2008-12-17T10:23:29Z
dc.date.available 2008-12-17T10:23:29Z
dc.date.issued 2005-07
dc.identifier.citation Smith , R E , Timmis , J , Stepney , S & Neal , M 2005 , ' Conceptual frameworks for artificial immune systems ' International Journal of Unconventional Computing , vol 1 , no. 3 , pp. 315-338 . en
dc.identifier.issn 1548-7199
dc.identifier.other PURE: 97105
dc.identifier.other dspace: 2160/1739
dc.identifier.uri http://hdl.handle.net/2160/1739
dc.identifier.uri http://www-users.cs.york.ac.uk/susan/bib/ss/nonstd/ijuc1-3.pdf en
dc.description Neal, Mark, Stepney, S., Smith, R.E., Timmis, J., (2005) 'Conceptual frameworks for artificial immune systems', International Journal of Unconventional Computing 1(3) pp.315-338 RAE2008 en
dc.description.abstract We propose that bio-inspired algorithms are best developed and analysed in the context of a multidisciplinary conceptual framework that provides for sophisticated biological models and well-founded analytical principles, and we outline such a framework here, in the context of Artificial Immune System (AIS) network models, and we discuss mathematical techniques for analysing the state dynamics of AIS. We further propose ways to unify several domains into a common meta-framework, in the context of AIS population models. We finally discuss a case study, and hint at the possibility of a novel instantiation of such a meta-framework, thereby allowing the building of a specific computational framework that is inspired by biology, but not restricted to any one particular biological domain. en
dc.format.extent 24 en
dc.language.iso eng
dc.relation.ispartof International Journal of Unconventional Computing en
dc.title Conceptual frameworks for artificial immune systems en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en


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