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Going Back to our Roots:Second Generation Biocomputing
By Jon Timmis, Martyn Amos, Wolfgang Bazhaf & Andy Tyrrell
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 ? solutions to humandefined 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 interdisciplinary 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.
Key words: bio-inspired computing, genetic programming, artificial immune systems, evolvable hardware, natural genetic engineering, biological plausibility
Posted by Tony Marmo at 16:42 GMT
Updated: Friday, 30 December 2005 16:48 GMT