``Going back to our roots'': second generation biocomputing
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- @Misc{oai:arXiv.org:cs/0512071,
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title = "``Going back to our roots'': second generation
biocomputing",
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note = "Submitted to the International Journal of
Unconventional Computing",
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author = "Jon Timmis and Martyn Amos and Wolfgang Banzhaf and
Andy Tyrrell",
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year = "2005",
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month = dec # "~16",
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howpublished = "arXiv",
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bibsource = "OAI-PMH server at arXiv.org",
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oai = "oai:arXiv.org:cs/0512071",
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keywords = "genetic algorithms, genetic programming, EHW, AIS,
Artificial Intelligence, Neural and Evolutionary
Computing",
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URL = "http://arxiv.org/abs/cs/0512071",
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size = "36 pages",
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abstract = "Researchers in the field of biocomputing have, for
many years, successfully 'harvested and exploited' the
natural world for inspiration in developing systems
that are robust, adaptable and capable of generating
novel and even 'creative' solutions to human-defined
problems. However, in this position paper we argue that
the time has now come for a reassessment of how we
exploit biology to generate new computational systems.
Previous solutions (the 'first generation' of
biocomputing techniques), whilst reasonably effective,
are crude analogues of actual biological systems. We
believe that a new, inherently inter-disciplinary
approach is needed for the development of the emerging
'second generation' of bio-inspired methods. This new
modus operandi will require much closer interaction
between the engineering and life sciences communities,
as well as a bidirectional flow of concepts,
applications and expertise. We support our argument by
examining, in this new light, three existing areas of
biocomputing (genetic programming, artificial immune
systems and evolvable hardware), as well as an emerging
area (natural genetic engineering) which may provide
useful pointers as to the way forward.",
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notes = "See \cite{Timmis:2006:IJUC}",
- }
Genetic Programming entries for
Jon Timmis
Martyn Amos
Wolfgang Banzhaf
Andrew M Tyrrell
Citations