INSPIRING FUTURES

Immuno-engineering.

Timmis, Jon, Hart, Emma, Hone, Andy, Neal, Mark, Robins, Adrian, Stepney, Susan and Tyrrell, Andy (2008) Immuno-engineering. In: Biologically-inspired collaborative computing. Springer Series in Computer Science, 268 . Springer/ IFIP International Federation for Information Processing, New York, pp. 3-18. ISBN 978-0-387-09654-4

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    Abstract/Description

    In this position paper, we outline a vision for a new type of engineering:
    immuno-engineering, that can be used for the development of biologically grounded
    and theoretically understood Artificial Immune Systems (AIS). We argue that, like
    many bio-inspired paradigms, AIS have drifted somewhat away from the source of
    inspiration. We also argue that through an interdisciplinary approach, it is possible
    to exploit the underlying biology for computation in a way that, as yet, has not been
    achieved. Immuno-engineering will not only allow for the potential development of
    more powerful AIS, but allow for feed back to biology from computation

    Item Type: Book Section
    ISBN: 978-0-387-09654-4
    Electronic ISBN: 978-0-387-09655-1
    Additional Information: paper presented at 20th IFIPWorld Computer Congress, Milan, Italy September 2008 The authors would like to thank Paul Andrews, Alex Freitas, Andy Greensted, Colin Johnson, Nick Owens, Jamie Tycross and Joanne White for input into some of the ideas behind Immuno-engineering. Jon Timmis would like to acknowledge the EPSRC grant EP/E005187/12 during which some ideas in the paper have been developed
    Uncontrolled Keywords: immuno-engineering; Artificial Immune Systems (AIS); biology for computation;
    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 > QA75 Electronic computers. Computer science
    Item ID: 3461
    Depositing User: Computing Research
    Date Deposited: 10 Feb 2010 13:30
    Last Modified: 10 Dec 2013 13:38
    URI: http://researchrepository.napier.ac.uk/id/eprint/3461

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