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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Artificial Negative Selection: Searching for an Appropriate Application Scenario
verfasst von : Yevgen Nebesov
Erschienen in: Bio-Inspired Models of Networks, Information, and Computing Systems
Verlag: Springer Berlin Heidelberg
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Despite numerous theoretical investigations on Artificial negative selection (ANS), there are still no useful scenarios in which this paradigm would outperform mainstream machine learning, statistical classification methods or other bio-inspired classification approaches. The aim of this paper is to identify main characteristics and requirements of a useful ANS scenario. Our investigations on this question led us to the need to extend the original ANS model proposed by Forrest et al. in [4]. The motivation of our work relies on the observation that biological mechanisms are not isolated mechanisms with a broad application range. They are only suitable for highly specific tasks and they might only be efficient in interaction with the rest of the biological environment.